Abstract: A value is obtained from a set of values respectively assigned to a set of characteristics of a first control associated with at least one trust dimension attributable to a given infrastructure, wherein the given infrastructure comprises one or more elements. An infrastructure trust index is computed based at least on the obtained value, wherein the infrastructure trust index characterizes a trustworthiness attributable to the given infrastructure.

Abstract: An example method of dynamic privilege management in a computer system includes: detecting launch of an application by a user in a login session of a desktop executing on the computer system; determining identification information for the application; evaluating at least one policy that specifies requirements for privilege elevation using the identification information as parametric input; generating a privilege elevation result for the application, the privilege evaluation result including a positive or negative indication of whether the at least one policy permits privilege elevation of a process created for the application within the login session; and elevating privilege of the process in response to the positive indication in the privilege elevation.

Abstract: One or more elements on a computing device can be selected and locked from use. For example, a first user (e.g., adult) of a computing device can allow a second user (e.g., child) to use the former's device; however, the first user might not want the second user to have access to all of the elements on the device, and so the first user can select which elements he/she wants to share with the second user and which elements he/she does not want to share. For example, the first user can select elements and choose to lock the selected elements, lock all other elements, lock the selected elements for a certain period of time, or lock the selected elements but allow for earned usage, etc. The lock can be removed in response to an unlock event, which can comprise a user-initiated unlock, a timed unlock, or a user-earned locked.

Abstract: Memory security technologies are described. An example processing system includes a processor core and a memory controller coupled to the processor core and a memory. The processor core can receive a content read instruction from an application. The processor core can identify a cache line (CL) from a plurality of CLs of a cryptographic cache block (CCB) requested in the content read instruction. The processor core can load, from a cryptographic tree, tree nodes with security metadata. The processor core can retrieve, from the memory, the CCB. The processor core can generate a second MAC from the CCB. The processor core can compare the first MAC with the second MAC. The processor core can decrypt the CCB using security metadata when the first MAC matches the second MAC. The processor core can send at least the identified CL from the decrypted CCB to the application.

Abstract: Disclosed embodiments relate to a system having a processor adapted to activate multiple security levels for the system and a monitoring device coupled to the processor and employing security rules pertaining to the multiple security levels. The monitoring device restricts usage of the system if the processor activates the security levels in a sequence contrary to the security rules.

Abstract: According to a first aspect of the present disclosure, an electronic device is provided which comprises: a substrate; an integrated circuit; a layer of glue between the substrate and the integrated circuit; a set of driving electrodes coupled to the glue and to the integrated circuit; a receiving electrode coupled to the glue and to the integrated circuit; a counter electrode coupled to the glue and to the substrate; wherein the glue comprises conductive particles which electrically connect the receiving electrode, the counter electrode and at least a part of the set of driving electrodes, such that, if drive currents are provided to said set of driving electrodes, at least a part of the drive currents flows to the receiving electrode through the conductive particles and the counter electrode. According to a second aspect of the present disclosure, a corresponding method of manufacturing an electronic device is conceived.

Abstract: To provide for a physical security mechanism that forms a complete envelope of protection around the cryptographic module to detect and respond to an unauthorized attempt at physical access, a tamper sensing encapsulant generally encapsulates the cryptographic module. The tamper sensing encapsulant includes a first shape actuation layer associated with an electrically conductive first trace element and a second shape actuation layer associated with an electrically conductive second trace element. The first shape actuation layer is positioned against the second shape actuation layer such that the first trace element and the second trace element do not physically touch at an operating temperature of the cryptographic module and do physically touch when the first shape actuation layer and the second shape actuation layer are thermally loaded. Upon first trace element and the second trace element touching, a circuit is formed that disables the cryptographic module.

Abstract: A computer return apparatus includes a processor. The apparatus includes a memory connected to the processor. The apparatus includes a display. The apparatus includes a return screen that the processor automatically causes to appear during or after boot-up of the processor on the display, that displays information concerning an owner who owns the computer, concerning user information about who the user is who the computer is assigned to for use, and return information for returning the computer to the owner from data stored in the memory. A method for displaying information to assist with returning a computer to its owner.

Abstract: A preconfiguration system preconfigures tracking devices before they are received by a user of the tracking devices. The preconfiguration system generates an activation signal that can be detected by an activation signal detector on a tracking device. Upon detecting the activation signal, the tracking device begins to operate in a preconfiguration mode and establishes a communicative connection with the preconfiguration system. The preconfiguration system can then communicate with the tracking device to perform a variety of tasks, including receiving a tracking device identifier from the tracking device so that the tracking device identifier can be associated with the user identifier for the user who purchased the tracking device.

Abstract: A control system for indoor position and vector tracking includes a plurality of radio frequency (RF) transmitters to detect a mobile radio frequency identification (RFID) tag. The control system includes an intelligent controller to receive location information from the RF transmitters and to calculate a vector associated with the mobile RFID tag. The intelligent controller may utilize the vector as a control input to an algorithm for selecting a control operation for one or more of plurality of networked devices.

Abstract: Techniques are provided to estimate the location of an RFID tag using tag read information, such as a tag read count or a tag read rate, and an opportunity metric, such as an inventory cycle duration, inventory cycle rate, or inventory cycle count. A tag tracking system determines read information for a tag in a zone and an opportunity metric associated with the tag and the zone. The tag tracking system then computes a success rate based on the tag read information and opportunity metric, and uses the success rate to estimate the location of the tag.

Abstract: A method and apparatus for detecting a bulk quantity of RFID tags in a presentation area such as a point-of-sale device. Bulk quantity of RFID tags may be detected according to input to the point-of-sale device including through input from a symbolic barcode scanner, a conveyor belt, a weight scale, and/or via an RF antenna driven at a first power level. After the bulk quantity of RFID tags is detected, the RF antenna is driven at a second, higher power level temporarily to increase bulk RFID tag detection accuracy. “Fringe” tags may be detected by the RF antenna when it is driven at the higher power level that are in the environment but not presented at the point-of-sale device. Fringe tags may be filtered based on RF characterization of the presentation area including driving the RF antenna outside of presentation sessions and/or filtering RFID tags detected across multiple presentation sessions.

Abstract: A data reading system and method, such as for reading optical codes on objects being passed through a read zone, including one or more imagers and at least one illumination module having a reflector housing that includes a baffle structure with a first inner surface and a second inner surface, and a light source disposed at the rear end of the reflector housing and operative to generate illumination out through the baffle structure along an outgoing illumination path, wherein at least one of the inner surfaces of the baffle structure comprises a dielectric material operative to exhibit high reflectivity to light rays from the light source impinging at a high incidence angle and to exhibit low reflectivity to light rays from the light source impinging at a low incidence angle, thereby minimizing stray light impinging on the eyes of the operator while maximizing on-target illumination.

Abstract: Systems, methods, and computer-readable media are disclosed for long range barcode scanning. In one embodiment, an example method may include determining a signal representative of a portion of light reflected from a barcode, determining respective values at one or more valleys and peaks of the signal, determining that a first peak represents a first narrow barcode element of the barcode, and determining that the third peak represents a second narrow barcode element of the barcode. Example methods may include determining a first edge position of the first narrow barcode element along a first portion of the signal, determining a second edge position of the second narrow barcode element along a second portion of the signal, and determining a path between the first edge position to the second edge position.

Abstract: A method and apparatus for decoding codes applied to objects for use with a camera and a conveyor system wherein the camera includes an image sensor having a two dimensional field of view (FOV) and the conveyor system moves objects through the FOV such that objects enter the FOV along an entry edge and exit the FOV along an exit edge, the method comprising the steps of providing a processor programmed to perform the steps of obtaining images of the FOV, for each image identifying code candidates in at least portions of the image, ordering at least a subset of the code candidates for decoding in a candidate order wherein the candidate order is determined at least in part as a function of the first direction of travel through the FOV, attempting to decode code candidates in the order specified by the direction of travel and when a new image event occurs, foregoing attempts to decode at least a portion of the identified code candidates.

Abstract: Systems, methods, and computer-readable storage media are provided for an embedded, scalable, predictive tool capable of detecting in-field anomalies and trends in advance of productivity losses on single devices, device clusters, and/or multi-cluster architectures. In-field and in real-time, sets of barcode signal sequences associated with respective barcode symbols are collected in time series (that is, at successive time intervals). A quality index measure in computed for each of the barcode signal sequence sets such that each quality index measure is associated with a barcode symbol. Patterns among the sets are identified therefrom and compared to barcode symbol patterns that are known to be associated with particular trends or anomalies and appropriately classified as such.

Abstract: Embodiments described herein include an input device including an array of sensing pixels configured to sense an input object in a sensing region, each of the sensing pixels including a sense element. Each of the sensing pixels also includes a first transistor, wherein the first transistor includes a gate terminal connected to a row select line and a second terminal connected to the sense element. Each of the sensing pixels also includes a non-linear circuit element, wherein the non-linear circuit element includes a first terminal connected to the sense element and the second terminal of the first transistor, and wherein the non-linear circuit element further includes a second terminal connected to a column output line.

Abstract: It will be understood by those skilled in the art that there is disclosed in the present application a biometric sensor that may comprise a plurality of a first type of signal traces formed on a first surface of a first layer of a multi-layer laminate package; at least one trace of a second type, formed on a second surface of the first layer or on a first surface of a second layer of the multi-layer laminate package; and connection vias in at least the first layer electrically connecting the signal traces of the first type or the signal traces of the second type to respective circuitry of the respective first or second type contained in an integrated circuit physically and electrically connected to one of the first layer, the second layer or a third layer of the multi-layer laminate package.

Abstract: A capacitive fingerprint sensing device for sensing a fingerprint pattern of a finger can comprise a plurality of sensing elements. Each sensing element comprises a protective dielectric top layer to be touched by the finger; a first electrode comprising an optically transparent electrically conductive sensing structure arranged underneath the top layer; fingerprint sensing circuitry connected to the first electrode and configured to provide an analog sensing signal indicative of a distance between the finger and the sensing structure, a second electrode arranged underneath the first electrode; an organic light emitting layer arranged between the first and second electrodes; display element control circuitry connected to the second electrode and configured to control a display element comprising the first and second electrodes and the organic light emitting layer; and a switching mechanism configured to switch the sensing element between a fingerprint sensing mode and a display mode.

Abstract: A method of initiating a calibration operation of an optical fingerprint sensing device comprising an array of photosensitive elements for capturing a fingerprint pattern, the method comprising acquiring information indicative of a change of an environmental parameter influencing the operation of the fingerprint sensing device; and if the change is larger than a predetermined threshold value, performing a calibration operation of the fingerprint sensing device. There is also provided a fingerprint sensing device configured to perform the method, and a consumer electronic device comprising such a fingerprint sensing device.

Abstract: The present invention relates to a method of enrolling a fingerprint of a user's finger using a fingerprint sensor, specifically allowing for an adaptability in a number of times the use's finger needs to touch/contact the fingerprint sensor for enrollment completion. The invention also relates to a corresponding electronic device and to a computer program product.

Abstract: An acoustic imaging system includes multiple acoustic transducers disposed to circumscribe a portion of imaging surface. An acoustic imaging system also includes a controller and an image resolver. The acoustic transducers convert electrical signals into mechanical energy and/or mechanical energy into electrical signals. The controller is adapted to apply an electrical signal to the acoustic transducers which, in response, induce a mechanical wave, such as a surface wave, into the circumscribed portion. The controller is also adapted to receive electrical signals from the acoustic transducers. The image resolver uses the electrical signals received by the controller in order to construct an image of an object in physical contact with the imaging surface.

Abstract: A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow-containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.

Abstract: A unit pixel of a fingerprint sensor is provided. The unit pixel includes a sensing electrode located to form a capacitance with an object touching a touch surface, a first switch connected between a first node and a second node to transmit at least one driving voltage input through the second node, the first node connected to the sensing electrode, the switch configured to the sensing electrode, an amplifier configured to receive a signal from the sensing electrode and amplify the signal, and a first capacitor connected between a first input terminal and an output terminal of the amplifier, the first capacitor configured to transmit the signal from the sensing electrode to the output terminal. The amplifier is configured to output a different output voltage according to the at least one driving based on an operation of the first switch.

Abstract: The invention relates to a method of authenticating a user by means of a fingerprint authentication system comprising a fingerprint sensing arrangement and authentication circuitry. The method comprises the steps of acquiring a first candidate fingerprint image; acquiring a second candidate fingerprint image; processing, while acquiring the second candidate fingerprint image, the first candidate fingerprint image by the authentication circuitry; and evaluating a result of the processing. When the evaluation indicates that successful authentication is not likely based on the first candidate fingerprint image, the user is authenticated based on the second candidate fingerprint image.

Abstract: A fingerprint identification apparatus includes a substrate, a second electrode layer, and a first electrode layer. The first electrode layer includes parallel first electrodes, and at least parts of the first electrodes have openings or dents. The second electrode layer includes parallel second electrodes and the second electrodes cross with the first electrodes on the substrate, where the openings or the dents are defined at the cross points from projected view. The second electrode is applied with transmitting signal and the corresponding electric field lines are received by the first electrode. The electric field lines detouring the edges of the first electrodes, or detouring the openings (or the dents) have induction with the finger close to or touching the first electrodes. The number of the effective electric field lines and the effective mutual capacitance changes can be increased to enhance the fingerprint sensing accuracy.

Abstract: A system, method, and computer program product for automatic machine-implemented pattern registration, particularly suited to small sensor systems which include a reduced image capture area size relative to the pattern being sensed.

Abstract: In one aspect, a fingerprint sensor device includes sensing circuitry to generate a sensor signal responsive to detecting a contact input associated with a fingerprint. The sensing circuitry includes a fingerprint sensor to detect the contact input and generate a signal indicative of an image of the fingerprint. The sensing circuitry includes a live finger sensor to generate a signal indicative of an identification of the fingerprint as belonging to a live finger. The generated sensor signal includes the signal indicative of the image of the fingerprint and the signal indicative of the identification of the fingerprint as belonging to a live finger. The fingerprint sensor device includes processing circuitry communicatively coupled to the sensing circuitry to process the generated sensor signal to determine whether the contact input associated with the fingerprint belongs to a live finger.

Abstract: Aspects of the subject disclosure may include, for example, systems and methods aggregating video content and adjusting the aggregate video content according to a training model. The adjusted aggregate video content comprises a first subset of the images and does not comprise a second subset of the images. The first subset of the images is determined by the training model based on a plurality of categories corresponding to a plurality of events. The illustrative embodiments also include presenting the adjusted aggregate video content and receiving identifications for the first subset of the images in the aggregate video content. Further, the illustrative embodiments include adjusting the training model according to the identifications and providing the adjusted training model to a network device. Other embodiments are disclosed.

Abstract: A wearable apparatus, including: an image collector (11), configured to acquire facial images and body images of an interaction partner who is interacting with the user of the apparatus; a controller (12) connected with the image collector and configured to analyze the facial images and the body images to achieve analysis results; and an output device (13) connected with the controller and configured to output the analysis results. The wearable apparatus is portable and of low cost, and capable of determining the psychological situation of the current interaction partner according to the images information of the interaction partner based on simple operations. An information processing method and an information processing apparatus of the wearable apparatus are also provided.

Abstract: Embodiments of the invention comprise advanced techniques for automated analysis and benchmarking of media based on behavioral data, including emotional state information, collected for a plurality of computer users exposed to that media. According to embodiments, a comparative analysis can be performed relative to other media content, in which case a rapid objective assessment tool can be provided. Alternatively or additionally, the comparative analysis can be relative to the media under test itself, in which case the technique can provide immediate feedback, e.g., on whether the media has had the intended impact on its target audience. Comparative analysis can further assist to identify audience sectors where an impact (positive or negative) is observed.

Abstract: There is provided a framework including systems and methods for analyzing skin parameters from images or videos showing skin. Using a series of Hierarchical Differential Image Filters (HDIF), it becomes possible to detect different skin features such as wrinkles, spots, and roughness. The hierarchical differential image filter computes two enhancements to an image showing skin at two different levels of enhancement, determines a differential image using the two enhancements and computes the skin analysis rating using the differential image. These skin ratings are comparably accurate to actual ratings by dermatologists.

Abstract: Methods of recognizing motions of an object in a video clip or an image sequence are disclosed. A plurality of frames are selected out of a video clip or an image sequence of interest. A text category is associated with each frame by applying an image classification technique with a trained deep-learning model for a set of categories containing various poses of an object within each frame. A “super-character” is formed by embedding respective text categories of the frames as corresponding ideograms in a 2-D symbol having multiple ideograms contained therein. Particular motion of the object is recognized by obtaining the meaning of the “super-character” with image classification of the 2-D symbol via a trained convolutional neural networks model for various motions of the object derived from specific sequential combinations of text categories. Ideograms may contain imagery data instead of text categories, e.g., detailed images or reduced-size images.

Abstract: A method and a system are described for performing optical character recognition on an image including a plurality of printed characters. The method includes defining one or more opcodes and direction pointers associated with the plurality of printed characters of a language and a font type, wherein each of the one or more opcodes has an associated unique opcode characterization value. The method includes creating a binary tree comprising a plurality of nodes, wherein each node of the plurality of nodes is assigned the unique opcode characterization value. The method includes retrieving a set of operations associated with the unique opcode characterization value assigned to each of the plurality of nodes. The method includes navigating the binary tree from a root node to a leaf node based on the set of operations, the first pointer value, and the second pointer value until the leaf node is reached.

Abstract: A computer-implemented method comprises defining a set of canonical features for a document type and a plurality of attributes for a canonical feature; identifying a set of text rectangles from an electronic document; obtaining a comparison set of reference document codifications, one of which comprising a plurality of canonical feature codifications, one of which comprising one or more attribute values for one or more of the plurality of attributes of one of the set of canonical features as the one canonical feature appears in the one reference document; for each current canonical feature of the set of canonical features: selecting a set of canonical feature codifications from the comparison set and identifying a match between one of the set of text rectangles and one of the set of canonical feature codifications; for each of the set of text rectangles, selecting one of the matching canonical feature codifications.

Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a support vector machine load feature database of a plurality of different electric load types; sensing a voltage signal and a current signal for each of the different electric loads; determining a load feature vector including at least six steady-state features with a processor from the sensed voltage signal and the sensed current signal; and identifying one of the different electric load types by relating the load feature vector including the at least six steady-state features to the support vector machine load feature database.

Abstract: A method of extracting an image of a port wharf through multispectral interpretation includes: first, extracting a blurred coastline by assigning values to grayscale values; then, performing a smoothing and noise removal processing on a remote sensing image in a targeted area to extract edge information; sequentially, establishing a multispectral database of a targeted port wharf; and extracting a port wharf using a projected eigenvector, performing an MAF transformation on the regularized kernel function again, projecting multivariate observed values to original eigenvectors, and identifying a remote sensing image area corresponding to the original eigenvector smaller than a transformation variance as a port wharf to be extracted, and then carrying out a validation operation.

Abstract: A method of extracting a warehouse in a port from a hierarchically screened remote sensing image includes the following steps: first, recognizing a texture feature of a remote sensing image and extracting edge lines of a coast of a port; then, selecting a sample of an optional irregular texture region and forming, through a CA transformation, principal component images of different hierarchies by taking a ratio of a between-class difference to an intra-class difference being maximum as an optimization condition; sequentially, extracting a correlation relationship of the warehouse in the port, and forming a feature point set with recognized warehouses to be analyzed; and last, extracting a feature of a visually sensitive image through a scene image to obtain a feedback selection of a real scene image to extract the warehouse in the port accurately.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a selection of an image. An object included in the image can be detected. An image portion that includes the object can be extracted from the image. The image portion can be provided for image analysis based on one or more object recognition processes. An identifier for the object can be received. The identifier can be determined based on the one or more object recognition processes being applied to the image portion.

Abstract: The subject matter disclosed herein relates generally to industrial automation systems, and, more particularly, to collecting video streams from a variety of video devices in an industrial environment, identifying and analyzing potential problems in the industrial environment using the video streams, and presenting the video streams and data associated with the potential problem to appropriate recipients.

Abstract: There are disclosed methods and apparatus for manufacture of prints produced and packaged from image inventories. A physical print production and packaging machine assigns metadata to each physical print of a frame of a digital video work. It takes objects that have been detected, recognized and assigned metadata to the objects by the frame slicing and packaging machine and detects, recognizes and assigns new items of metadata to objects that are unique to the physical print. The print production and packaging machine then generates a cryptographic hash of the physical print's digital file. Lastly, the print production and packaging machine writes the hash to a node of a transaction processing network.

Abstract: A mobile robot to which a shadow removal method and system for surveillance camera-based mobile robot control according to the present invention is applied acquires images from two closely installed surveillance cameras indoors and performs shadow removal at an improved speed compared to the conventional speed, to recognize the obstacle in the image to avoid it and travel. It is anticipated that through the mobile robot using the surveillance camera-based shadow removal method and system of the present invention, the practical use of an intelligent image surveillance system that can automatically analyze images and recognize a dangerous situation to take quick action may be accelerated.

Abstract: In some embodiments, systems, apparatuses, and methods are described herein including a shelf assembly that utilizes the accumulated weight of products stocked thereon to compress a compression member disposed within the assembly. An electronic imaging device can be mounted proximate to the assembly and can be oriented to capture an image of the compression member to determine whether a particular shelf needs to be restocked and avoid having to manipulate or remove products from a shelf to determine a current stock level.

Abstract: A computer-implemented method for entity detection is described. In one embodiment, an entity passing through a perimeter of a predefined area is detected via a camera. Upon detecting the entity passing through the perimeter of the predefined area, a type of the entity is classified from an image of the entity captured by the camera. Upon classifying the type of the entity, a feature of the entity is detected from the image of the entity. An identifier is assigned to the entity based on the type and the detected feature of the entity. The identifier distinguishes the entity from another entity of a same type.

Abstract: [Problem] To provide a motion condition estimation device, a motion condition estimation method and a motion condition estimation program capable of accurately estimating the motion condition of monitored subjects even in a crowded environment. [Solution] A motion condition estimation device according to the present invention is provided with a quantity estimating means 81 and a motion condition estimating means 82. The quantity estimating means 81 uses a plurality of chronologically consecutive images to estimate a quantity of monitored subjects for each local region in each image. The motion condition estimating means 82 estimates the motion condition of the monitored subjects from chronological changes in the quantities estimated in each local region.

Abstract: There is provided a vehicle state determining device. An extracting unit is configured to extract feature points from images acquired by an imaging device mounted on a vehicle. An estimating unit is configured to estimate the movement amount of the vehicle at each time set at intervals of a predetermined time, on the basis of the feature points extracted by the extracting unit. A determining unit is configured to perform determination on movement of the vehicle on the basis of the movement amount estimated by the estimating unit, and the change amount of the movement amount.

Abstract: There is provided a detection device that includes: a position estimator that estimates a candidate position of a crosswalk in a movement direction of a vehicle and estimates a length of the crosswalk and an intersecting angle between the crosswalk and a roadway using the candidate position; a corrector that corrects the numbers of periods and widths of two basis functions based on the estimated length of the crosswalk and the estimated intersecting angle, the two basis functions corresponding to intervals of white lines of the crosswalk and are orthogonal to each other; and a crosswalk detector that detects whether or not the crosswalk is present using both image data which include the candidate position and the two corrected basis functions.

Abstract: A computer is programmed to detect an object based on vehicle camera image data. The computer determines a light source and determines, based in part on a light source position, that the detected object is a shadow. The computer then navigates the vehicle without avoiding the object upon determining that the detected object is a shadow.

Abstract: A three dimensional object recognition device has in-vehicle cameras capturing front images of a vehicle, a recognition section and a light shaft judgment section. The recognition section detects a three dimensional object in the front images based on a parallax generated between the front images. The light shaft judgment section detects whether a light shaft phenomenon has happened in a three dimensional object area in at least one of the front images, and judges that the detected three dimensional object is an incorrect three dimensional object caused due to the light shaft phenomenon when detecting the light shaft phenomenon at every time when the recognition section detects the three dimensional object.

Abstract: A system for estimating parking occupancy includes a vehicle-detection device including an adjustable mast supporting an image capture device at a select height. The image capture device acquires video of a current parking area. A computer processor in communication with the image capture device is configured to receive the video data and define a region of interest in the video data. The processor is further configured to perform a spatial transform on the ROI to transform the ROI to a normalized geometric space. The processor is further configured to apply features of a detected object in the normalized geometric space to a vehicle classifier—previously trained with samples acquired from a normalized camera perspective similar to the normalized geometric space—and determine the occupancy of the current parking area using an output of the classifier.