Abstract: A system and a method for processing images are provided. The method obtaining a first image of a target scene under a first exposure time, wherein the target scene may be related to a light status of a light; obtaining a second image of the target scene under a second exposure time; and generating a target image by adjusting the light status in the first image based on the light status in the second image. The method may further include operations to determine whether a predefined light effect exists in the obtained image of the light. Such operations may include: obtaining a light status of a light; obtaining an image of the light in the light status; determining, at least based on the obtained light status of the light, whether a predefined light effect exists in the obtained image of the light.

Abstract: Systems and methods for determining a time difference are provided in the present disclosure. The systems includes a first base station configured to receive a first signal transmitted from a terminal and receive a second signal from a second base station. The systems may also include the second base station configured to receive the first signal transmitted from the terminal, and transmit the second signal after receiving the first signal. The systems may further include at least one processor configured to determine a time duration between the first base station receiving the first signal and receiving the second signal and determine the time difference between a first time period of the first signal transmitted from the terminal to the first base station and a second time period of the first signal transmitted from the terminal to the second base station based on a third time period and the time duration.

Abstract: The present disclosure relates to systems and methods for image coding. The system may determine a coding unit in an image, the coding unit including a plurality of pixels. The system may determine a plurality of first reference lines associated with the coding unit, the plurality of first reference lines being along a first side of the coding unit and each of the plurality of first reference lines including a plurality of first reference pixels. The system may determine a plurality of second reference lines associated with the coding unit, the plurality of second reference lines being along a second side of the coding unit and each of the plurality of second reference lines including a plurality of second reference pixels. For each of the plurality of pixels in the coding unit, the system may determine a target predicted value of the pixel based on at least one of the plurality of first reference lines or the plurality of second reference lines according to a prediction mode.

Abstract: A method and system for image processing are provided in the present disclosure. The method may include obtaining a first image and determining whether there is an object of interest in the first image by performing an object detection on the first image. The method may also include upon a determination that there is an object of interest in the first image, retrieving at least one background image from a first storage device, and obtaining a foreground image. The method may further include upon a determination that there is no object of interest in the first image, determining whether a first predetermined condition is satisfied; and upon a determination that the first predetermined condition is satisfied, updating the at least one background image in the first storage device based on at least one candidate image determined as including no object of interest.

Abstract: According to aspects of the present disclosure, methods, systems, and media for processing an image are provided. A system may include at least one computer-readable storage medium including a set of instructions for processing an original image, and at least one processor in communication with the at least one computer-readable storage medium. When executing the set of instructions, the system is directed to obtain a first luminance image of the original image; decompose the first luminance image to provide a plurality of first decomposed images; adjust pixel frequencies in at least some of the plurality of first decomposed images to generate a plurality of second decomposed images; generate a second luminance image of the original image based on the plurality of second decomposed images; and determine a final image of the original image based on the first luminance image, the second luminance image, and the original image.

Abstract: A system and method for license plate recognition is provided in the present disclosure. The method may include obtaining an image including a license plate mounted on a vehicle, and identifying at least one feature point associated with the vehicle. The method may also include determining an approximate angle range within which a tilt angle of the license plate is located based on the at least one feature point, and determining the tilt angle of the license plate within the approximate angle range. The method may further include performing a tilt correction on the license plate based on the tilt angle of the license plate.

Abstract: A method for controlling access to an entrance may include receiving, via a network from a user terminal associated with a user, identity information and biological information related to the user. The method may also include obtaining a first determination whether the identity information matches the biological information. The method may also include obtaining a second determination whether the identity information has been registered in response to a result that the identity information matches the biological information. The method may also include transmitting the biological information to one or more authorization devices to provide a permission to the user in response to a result that the identity information has been registered. The permission may permit the user to access the entrance by inputting the biological information related to the user through one of the one or more authorization devices.

Abstract: A method may include obtaining an image including a face. The method may further include determining at least one time domain feature related to the face in the image and at least one frequency domain information related to the face in the image. The method may further include evaluating the quality of the image based on the at least one time domain feature and the frequency domain information.

Abstract: An imaging control method is provided. The method may include obtaining a current image generated based on an exposure parameter, wherein the current image includes a plurality of pixels; determining a plurality of target pixels or target pixel groups from at least portion of the plurality of pixels; determining a statistic representation based on target pixels or target pixel groups; determining a characteristic feature based on the statistic representation; and, updating the exposure parameter, based on the characteristic feature, to generate an updated image.

Abstract: A method for image fusion may include obtaining a first image including a plurality of first pixels and a second image including a plurality of second pixels. Each of the plurality of second pixels may correspond to one of the plurality of first pixels. The method may further include classifying the plurality of first pixels into different categories which at least includes a first category and a second category. The method may further include fusing the first image with the second image based on a fusion operation between each of the plurality of first pixels and its corresponding second pixel to generate a fused image. The fusion operation associated with a first pixel belonging to the first category and the fusion operation associated with a first pixel belonging to the second category are performed according to different fusion rules.

Abstract: A system may comprise at least one signal input circuit configured to receive target input signals from at least one sensor device; at least one signal processing unit. Each of the at least one signal processing unit may include at least one signal output circuit configured to output signals to a first electronic connection; and at least one signal extraction circuit configured to obtain a reverse control signal from the first electronic connection; and at least one signal superimposing circuit configured to generate superimposed reverse control signals by superimposing the first reverse control signal with other electronic signals, and output the superimposed reverse control signal to the signal input circuit.

Abstract: A method configured to implemented on at least one image processing device for detecting objects in images includes obtaining an image including an object. The method also includes generating one or more feature vectors related to the image based on a first convolutional neural network, wherein the one or more feature vectors includes a plurality of parameters. The method further includes determining the position of the object based on at least one of the plurality of parameters. The method still further includes determining a category associated with the object based on at least one the plurality of parameters.

Abstract: The present disclosure is related to systems and methods for image processing. The method includes obtaining an image including a plurality of pixels. The method includes determining at least one brightness parameter based on the brightness values of the plurality of pixels. The method includes obtaining an image processing algorithm including at least one image processing parameter. The method includes determining a value of the at least one image processing parameter based on the at least one brightness parameter. The method includes generating a target image by processing the image according to the image processing algorithm upon the value of the at least one image processing parameter.

Abstract: The present disclosure relates to systems and methods for identifying a target object. The method may include receiving, from a first antenna, a first signal associated with at least one candidate object and receiving, from a second antenna, a second signal associated with the at least one candidate object. The first antenna may be associated with a first acquisition region. The second antenna may be associated with a second acquisition region that is different from the first acquisition region. The method may further include identifying a target object located in a target region from the at least one candidate object by comparing a first parameter determined from the first signal with a second parameter determined from the second signal.

Abstract: A method and system for generating a fusion image. The method may include obtaining a first image and a second image of a same scene. Pixels of at least a part of the first image may correspond to pixels of at least a part of the second image. The method may include generating, based on the first image, a first low-frequency image corresponding to a low-frequency component of the first image, the first low-frequency image including a plurality of first pixels. The method may include generating, based on the second image, a first high-frequency image corresponding to a high-frequency component of the second image, the first high-frequency image including a plurality of second pixels, the plurality of second pixels corresponding to the plurality of first pixels.

Abstract: The present disclosure relates to systems and methods for determining automatically a target field angle of an image capturing device. The method may include obtaining, by the image capturing device, at least two images for determining a target field angle of the image capturing device. The method may also include obtaining a field angle range of the image capturing device. Further, the method may include determining the target field angle by matching the at least two images based on the field angle range.

Abstract: The present disclosure relates to a system and method for managing the storage of files in a storage medium of a computing device. The method may comprise detecting a file to be stored in the storage medium. The method may also comprise determining a file assignment mode and a granularity, wherein the granularity includes at least two file system blocks occupying consecutive physical addresses of the storage medium. The method may further comprise allocating one or more storage regions for storing the file based at least on the file assignment mode and the granularity, and storing the file into the allocated one or more storage regions.

Abstract: A method configured to be implemented on at least one image processing device for enhancing edges in images includes obtaining, by the at least one imaging processing device, image data of an image, wherein the image includes a plurality of pixels, and each of the plurality of pixels has a luminance value and a motion intensity value. The method also includes performing at least one filtering operation to the image to obtain, by the at least one imaging processing device, one or more filtered values for each pixel. The method further includes performing a first logical operation to the one or more filtered values of each pixel in the image to obtain, by the at least one imaging processing device, an edge value and an edge enhancement coefficient for each pixel in the image.

Abstract: The present disclosure relates to a security inspection system. The system may include a re-inspection apparatus and a monitoring platform. The monitoring platform may receive information relating to a suspect article in a package and information relating to an electronic tag attached to the package. The monitoring platform may also generate re-inspection instructions for the package based on the information relating to the suspect article and the information relating to the electronic tag, and send the re-inspection instructions to the re-inspection apparatus. The re-inspection apparatus may re-inspect the suspect article in the package based on the re-inspection instructions. The information relating to the suspect article may be generated and sent by a security inspection machine. The information relating to the electronic tag may be generated and sent by a labelling apparatus. The package with the electronic tag may be delivered to the re-inspection apparatus by a distribution apparatus.

Abstract: A device for processing images are provided. The device a support bar, a mounting housing mounted with a camera lens, and a connector configured to connect the support bar to the mounting housing. The mounting housing is integrally rotatable with the connector with respect to the support bar. The mounting housing may further be mounted with an ultrasonic probe and a lightening device. The ultrasonic probe is configured to monitor a predefined change, such as a change in an occupation state of a parking space, and the camera lens and the lightening device is controlled at least by the monitored change. When the ultrasonic probe monitors that a car is leaving or entering a parking space, the camera lens and the lightening may be switched on.