Abstract: A method and system for monitoring buildings (including houses and office buildings) by performing video content analysis based on two-dimensional image data and depth data are disclosed. Occupation and use of such buildings may be monitored with higher accuracy to provide higher energy efficiency usage, to control operation of components therein, and/or provide better security. Height data may be obtained from depth data to provide greater reliability in object detection, object classification and/or event detection.

Abstract: An assembly is disclosed. The assembly includes a filter frame including one or more cutouts for permitting airflow therethrough. The assembly further includes one or more vertical support members and one or more horizontal support members, wherein the one or more vertical support members and the one or more horizontal support members are fixed to a first side of the filter frame.

Abstract: A signal transmission method suitable for DDR for driving a connecting pad includes a level shifting circuit including up and down level shifters, a buffer circuit including up and down buffer units, and an output circuit. The level shifting circuit, disposed between a DDR operating voltage and a ground voltage, receives an input signal in a first operating voltage equal to the ground voltage and a second operating voltage smaller than the DDR operating voltage. The up buffer unit is disposed between the DDR operating voltage and a first reference voltage, and the down buffer unit is disposed between the ground voltage and a second reference voltage equal to the second operating voltage. The up and down level shifters adopt IO devices, and other components adopt core devices. The first reference voltage is a difference between the DDR operating voltage and the second reference voltage.

Abstract: Embodiments relate to management of data accessed from a database. A usage tracking engine of an application layer overlying a database, may automatically track (e.g. with a time stamp) access to specific data objects by particular users. This automatic tracking may be based upon one or more of the following: frequency of access, recency of access, user geographic location, and user calendar events. Based upon this data, the tracking engine applies an algorithm to automatically identify those data objects meriting special handling for quick access (e.g. for placement in a “shelf” or other construct readily accessible to the user). A heuristic learning module may generate a data object ranking based upon the usage data, and communicate that ranking to the usage tracking engine to determine a data object's eligibility for placement on the “shelf”. Such ranking may consider personalized settings, and/or a user's past manual shelf placement of data object(s).

Abstract: A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Abstract: An input/output (IO) circuit with high voltage tolerance is provided. In an integrated circuit, the IO circuit includes a charge pump for generating a bias voltage higher than an internal operating voltage of the charge pump itself, and a switch between an external circuit and an internal circuit of the integrated circuit. When the switch conducts between the external circuit and the internal circuit, the switch provides a clamping voltage according to the bias voltage and a cross voltage of the switch, so that a voltage of the internal circuit is bounded by the clamping voltage to prevent the internal circuit from over-voltage.

Abstract: Methods, devices and systems for performing video content analysis to detect humans or other objects of interest a video image is disclosed. The detection of humans may be used to count a number of humans, to determine a location of each human and/or perform crowd analyzes of monitored areas.

Abstract: Methods and systems are provided for monitoring a point of sale (POS) transaction. Operations performed by the methods and systems include generating POS primitives by processing non-video data of a transaction recorded at the POS terminal. The operations also include generating video primitives by processing video data of the transaction recorded at the POS terminal. The operations further include determining that the transaction comprises and exceptional transaction by comparing the non-video data and/or the video data to exceptional transaction rules. Additionally, the operations include determining that that exceptional transaction comprises a verified exceptional transaction by generating a video event based on the vide primitives and a corresponding video rule.

Abstract: A monitoring method and system are disclosed. In one embodiment, a method includes monitoring the health of a person in a home. The method includes capturing a video sequence from a first camera disposed within the home, including capturing two-dimensional image data for the video sequence; receiving depth data corresponding to the two-dimensional data, and associating the depth data with the video sequence as metadata; setting a plurality of events to monitor associated with the person, the events defined to include actions captured from the first camera, at least a first event including the person's body being in a particular bodily position and performing video content analysis on the video sequence to determine whether the events have occurred.

Abstract: A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Abstract: A method for predicting when an object will arrive at a boundary includes receiving visual media captured by a camera. An object in the visual media is identified. One or more parameters related to the object are detected based on analysis of the visual media. It is predicted when the object will arrive at a boundary using the one or more parameters. An alert is transmitted to a user indicating when the object is predicted to arrive at the boundary.

Abstract: Systems, methods and computer-readable media for creating and using video analysis rules that are based on map data are disclosed. A sensor(s), such as a video camera, can track and monitor a geographic location, such as a road, pipeline, or other location or installation. A video analytics engine can receive video streams from the sensor, and identify a location of the imaged view in a geo-registered map space, such as a latitude-longitude defined map space. A user can operate a graphical user interface to draw, enter, select, and/or otherwise input on a map a set of rules for detection of events in the monitored scene, such as tripwires and areas of interest. When tripwires, areas of interest, and/or other features are approached or crossed, the engine can perform responsive actions, such as generating an alert and sending it to a user.

Abstract: Embodiments relate to systems, devices, and computer-implemented methods for performing automated visual surveillance by obtaining video camera coordinates determined using video data, video camera metadata, and/or digital elevation models, obtaining a surveillance rule associated with rule coordinates, identifying a video camera that is associated with video camera coordinates that include at least part of the rule coordinates, and transmitting the surveillance rule to a computing device associated with the video camera. The rule coordinates can be automatically determined based on received coordinates of an object. Additionally, the surveillance rule can be generated based on instructions from a user in a natural language syntax.

Abstract: A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Abstract: A method and system for performing video content analysis based on two-dimensional image data and depth data are disclosed. Video content analysis may be performed on the two-dimensional image data, and then the depth data may be used along with the results of the video content analysis of the two-dimensional data for tracking and event detection.

Abstract: A home health care monitoring method and system are disclosed. In one embodiment, a method includes: capturing a plurality of video sequences from a plurality of respective cameras disposed in different locations within a patient's home, including capturing two-dimensional image data and depth data for each video sequence; defining a plurality of events to monitor associated with the patient, the events including, during a predetermined time period, at least (1) the patient's body being in a particular position for at least a predetermined amount of time; performing depth-enhanced video content analysis on the plurality of video sequences to determine whether the event (1) has occurred.

Abstract: A content analysis engine receives video input and performs analysis of the video input to produce one or more gross change primitives. A view engine coupled to the content analysis engine receives the one or more gross change primitives from the content analysis engine and provides view identification information. A rules engine coupled to the view engine receives the view identification information from the view engine and provides one or more rules based on the view identification information. An inference engine performs video analysis based on the one or more rules provided by the rules engine and the one or more gross change primitives.

Abstract: Lipophilic fluorescent substances can be used to detect surface defects in materials having hydrophilic (e.g., inorganic) coatings. Use of the described methods makes surface defects appear fluorescent, while the remaining surfaces are not labeled. The disclosed methods are inexpensive, rapid, and easy alternatives to existing approaches.

Abstract: A method, an apparatus, and a communication node for suppressing output noises of peripheral component interconnect express (PCIe) devices in optical fiber communication is provided. The communication node includes a PCIe chip and a detection and control circuit connected to a transmitting end of the PCIe chip. The PCIe chip transmits an electrical signal by a transmitter of a first lane. The detection and control circuit detects a differential-mode voltage of the electrical signal. If the differential-mode voltage is lower than a first threshold, the detection and control circuit controls an optical module connected to the PCIe chip not to transmit an optical signal through the first lane of the optical module. When a PCIe system includes the communication node, output noises of the transmitter is suppressed, and a normal optical fiber communication link is ensured.

Abstract: A method of monitoring a point of sale (POS) transaction including: receiving non video data regarding the POS transaction; defining exceptional transaction rules based at least on predetermined non video POS data events; inferring a potentially exceptional transaction based on a corresponding exceptional transaction rule and the received POS non video data; and verifying the inferred potentially exceptional transaction with video data regarding a corresponding POS transaction.