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: The present disclosure relates to a system and method for managing files stored in a storage medium. The method may include obtaining file information of a file stored in the storage medium, wherein the file includes at least two data fragments, each two of the at least two data fragments are stored separately in two discontinuous storage units in the storage medium. The method may also include determining a first parameter of the file according to the file information, wherein the first parameter represents an integrity of the at least two data fragments in the storage medium. The method may further include determining whether the first parameter is equal to or smaller than a preset threshold. The method may still further include defragmenting the at least two data fragments in the storage medium if the first parameter is equal to or smaller than the preset threshold.

Abstract: A Digital Video Recorder (DVR) for storing video data received from an imaging device and a method thereof are provided in the present disclosure. The DVR includes a communication port configured to connect to the imaging device. The DVR also includes a processing module configured to determine whether the DVR receives video data from the imaging device through the communication port and a detection module configured to acquire an operating voltage of the imaging device. The DVR further includes a power supply switch configured to turn on or off a power supply to the imaging device based on a determination by the processing module and the operating voltage of the image device.

Abstract: A method for data transmission may be implemented on an electronic device having one or more processors. The one or more processors may include a master queue including a master queue head and a plurality of primary ports that are connected to each other using a serial link. The method may include operating the master queue head to obtain a message. The method may also include operating the master queue head to segment the message into a plurality of segments. The method may also include operating the master queue head to transmit the plurality of segments to a first primary port of the plurality of primary ports in the master queue. The method may also include operating the first primary port to transmit the plurality of segments to a second primary port of the plurality of primary ports in the master queue.

Abstract: The present disclosure provides a system and method for generating a video synopsis. The method may include obtaining a video captured by a movable camera at a plurality of positions, the video including a sequence of video frames; determining, for each of at least part of the sequence of video frames, a position label of the video frame that indicates one of the plurality of positions of the movable camera; classifying the at least part of the sequence of video frames into a plurality of groups based on their position labels; determining one or more objects of interest in at least one of the plurality of groups; generating, for the at least one of the plurality of groups, a video synopsis based on the one or more objects of interest.

Abstract: A method for identifying a color of an object may include obtaining a target image including the object and identifying in the target image a region of interest (ROI) including the object. The method may also include identifying at least one sub-region of the object from the ROI of the object and determining at least one first characteristic vector respectively corresponding to the at least one sub-region. The method may further include determining a second characteristic vector of the ROI of the object and identifying, based on the at least one first characteristic vector and the second characteristic vector, the color of the object using a color identification model. The method may further include correcting the color of the target image.

Abstract: The present disclosure relates to systems and methods of multi-camera. The method may include determining a level of a camera in a multi-camera system based on the status of an object, and determining a mode of the camera based on the level. The mode may relate to one of a bit rate, an I frame interval, or a coding algorithm. The method may further include generating a monitor file relating to the object based on the level of the camera in the multi-camera system.

Abstract: The present disclosure relates to zoom lenses and optical devices using the same. A zoom lens may include in order from an object side to an image side: a first lens group; a second lens group; a third lens group; a fourth lens group; and a fifth lens group; wherein the zoom lens satisfies the following conditions: ?1.7?f2/fw???0.3, 0.7?f3/fw??2.1, 1.1?f4/fw??2.5, and TTL/fw??6.5, wherein f2 denotes a focal length of the second lens group, f3 denotes a focal length of the third lens group, f4 denotes a focal length of the fourth lens group, fw? denotes a focal length of the zoom lens, and TTL denotes a total track length of the zoom lens.

Abstract: The present disclosure relates to systems and methods for video display. The system may include at least one processor that is directed to concurrently display a plurality of videos via a display device. Each of the plurality of videos may correspond to a camera channel. In response to receiving an input signal associated with at least one of the plurality of videos, the at least one processor is directed to jointly display the at least one of the plurality of videos and one or more correlated videos via the display device. The camera channels of the one or more correlated videos may be correlated with that of the at least one of the plurality of videos.

Abstract: A method for generating a video synopsis may include: segmenting a video file into a plurality of video fragments. The method may also include extracting moving object information from the video fragment based on a distributed computing method and determining a plurality of index files based on the moving object information. The method may further include combining the plurality of index files and generating a video synopsis based on the moving object information and the combined index file.

Abstract: A system and method for filling light for video images are provided. The method may include: obtaining, by at least one video processing device, a first image including a plurality of reference pixels and is associated with at least one brightness direction; for each of the plurality of reference pixels, obtaining, by the at least one video processing device, a reference brightness value; identifying, by the at least one video processing device, a target brightness direction from the at least one brightness direction; for each of the plurality of reference pixels, determining a brightness enhancement multiplier for the reference pixel based on the plurality of reference brightness values and locations of the plurality of reference pixels along the target brightness direction of the first image; and modifying, by the at least one video processing device, brightness of the first image at least based on the brightness enhancement multipliers.

Abstract: A method and a system for updating coordinate conversion parameters are provided. The method may include obtaining a first image captured by an imaging apparatus under a first configuration, selecting a feature point of an object in the first image and obtaining first coordinates of the feature point of the object in the first image. The method may further include causing the imaging apparatus to change from the first configuration to a second configuration. The method may further include obtaining a second image captured by the imaging apparatus under the second configuration, identifying the feature point of the object in the second image, and obtaining second coordinates of the feature point of the object in the second image. The method may further include updating the initial coordinate conversion parameters to generate an updated coordinate conversion parameter set.

Abstract: A method for processing an online video stream may include determining a transmission performance of a network for a queue of video frames, wherein each video frame in the queue may be associated with a priority level. The method may also include determining a maximum discarding level based on the transmission performance of the network. The method may further include removing a target video frame of which the associated priority level is lower than or equal to the maximum discarding level from the queue.

Abstract: A method and system for locating a target object in a target scene. The method may include obtaining a depth image of the target scene. The depth image may include a plurality of pixels. The method may also include, for each of the plurality of pixels of the depth image, determining a first target coordinate under a target coordinate system. The method may further include generating a marking image according to the depth image and the first target coordinates of the plurality of pixels in the depth image. The marking image may represent potential target objects in the depth image. The method may also include determining a locating coordinate of the target object under the target coordinate system according to the marking image.

Abstract: The present disclosure relates to methods and systems for data visualization. The systems may perform the methods to obtain a video having a plurality of frames including a plurality of objects; identify a target object from the plurality of objects according to the plurality of frames; determine one or more track points of the target object, each of the one or more track points being corresponding to the target object in one of the plurality of frames; determine a first track of the target object based on the track points, the first track including at least one of the one or more track points of the target object; determine a second track of the target object based on the first track, the second track including at least one of the track points of the first track; generate a video analysis result by analyzing the second track; and visualize the video analysis result.

Abstract: The present disclosure relates to systems and methods for establishing connection between devices. One or more first parameters relating to a first device may be determined. The first device may have a first operation mode and a second operation mode. The one or more first parameters may include a duration of the first operation mode and a duration of the second operation mode. One or more second parameters relating to a second device may be determined. The second device may have a third operation mode. The one or more second parameters relating to the second device may include a duration of the third operation mode. A connection between the first device and the second device may be established based on the one or more first parameters and the one or more second parameters.

Abstract: The present disclosure provides a method for adjusting a position of a photosensitive chip of an image acquisition device. The method may include determining a first symmetrical axis and a second symmetrical axis of the photosensitive chip. The first symmetrical axis may divide the photosensitive chip into a first portion and a second portion, and the second symmetrical axis may divide the photosensitive chip into a third portion and a fourth portion. The method may further include adjusting the position of the photosensitive chip from an initial position to an adjusted position. When the photosensitive chip is at the adjusted position, a first image resolution corresponding to the first portion may be substantially equal to a second image resolution corresponding to the second portion, and a third image resolution corresponding to the third portion may be substantially equal to a fourth image resolution corresponding to the fourth portion.

Abstract: A method and system for selecting an image acquisition device. The method may include obtaining a set of device parameter corresponding to at least one image acquisition device. Each device parameter may correspond to an image acquisition device. The device parameters may include a pixel size, and a focal length. The method may include, for each image acquisition device, determining one or more first evaluation values of a target region based at least on the device parameter of the image acquisition device. Each first evaluation value may correspond to a first installation parameter of the image acquisition device. The method may include designating the image acquisition device as a target image acquisition device in response to a determination that at least one first evaluation value is greater than or equal to an evaluation value threshold.

Abstract: The present disclosure provides a method for identifying a plurality of lane lines on a road segment. The method may include obtaining a plurality of images of the road segment having one or more lanes and vehicles, and identifying a plurality of reference straight lines from the images. The method may include determining a vanishing point based on the reference straight lines, and determining a plurality of candidate lane lines among the reference straight lines based on the vanishing point. The method may also include determining at least one travel trajectory of at least one of the vehicles based on the images. The method may further include determining a target travel trajectory among the travel trajectory based on the vanishing point or a count of the lanes, and determining the lane lines among the candidate lane lines based on the target travel trajectory.