Abstract: The present disclosure relates to systems and methods for object recognition. The system may obtain an image and a model. The image may include a search region in which the object recognition process is performed. In the objection recognition process, for each of one or more sub-regions of the search region, the system may determine a match metric indicating a similarity between the model and the sub-region of the search region. Further, the system may determine an instance of the model among the one or more sub-regions of the search region based on the match metrics.

Abstract: The present disclosure is related to systems and methods for noise reduction. The method includes determining a first image block in each of a group of continuous frames including a current frame and a plurality of reference frames based on coordinates of a target pixel in the current frame. The method includes determining at least one second image block corresponding to the first image block in each of the group of continuous frames. The method includes determining an average offset between the at least one second image block in the current frame and the second image blocks in the plurality of reference frames. The method includes determining a spatial domain filtering intensity and a temporal domain filtering intensity for the target pixel in the current frame.

Abstract: The present disclosure relates to systems and methods for a multi-video stream transmission to a client terminal. The systems and methods may include obtaining a multi-video stream including a plurality of video streams, each video stream including multiple key frames characterized by a frame rate and a key frame interval. The systems and methods may include determining a delay time of an initial key frame for each video stream based on a plurality of frame rates and a plurality of key frame intervals of the plurality of video streams. The systems and methods may further include processing the plurality of video streams to determine a desired sending time of the initial key frame in the corresponding video streams based on the delay time of the initial key frame in each video stream. The systems and methods may further include transmitting the plurality of processed video streams to the client terminal.

Abstract: The present disclosure relates to systems and methods for image segmentation. The system may include at least one processor that is directed to obtain an image; divide the image into a plurality of image blocks; determine, for each of the plurality of image blocks, a compressed representation of one or more features of the image block; group the plurality of image blocks into at least two different categories based on the plurality of compressed representations; and extract a region of interest from the image based on at least one of the at least two different categories of the plurality of image blocks.

Abstract: A method for decoding an encoded code stream is provided. The method may include obtaining the encoded code stream. The method may include determining a plurality of code blocks based on the encoded code stream. The method may include determining a plurality of bit-planes for each of the plurality of code blocks, the plurality of bit-planes ranging from a most significant bit-plane to a least significant bit-plane. The method may include determining at least one query-plane for each of the plurality of bit-planes. The method may further include decoding each of the plurality of bit-planes based on the at least one query-plane.

Abstract: A system is provided in the present disclosure. The system may determine a first exposure time of a visible light sensor of an image acquisition device according to ambient light at a scene to be photographed. The image acquisition device may include the visible light sensor and an infrared light sensor. The system may also actuate the image acquisition device to simultaneously capture a visible light image and at least one infrared light image of the scene. The visible light image may be captured using a visible light sensor with the first exposure time. The at least one infrared light image may be captured using an infrared light sensor. The system may also generate a WDR image by processing the at least one infrared light image, and generate a target image of the scene by fusing the visible light image and the WDR image.

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: Methods and systems are provided for processing an image. The method may include selecting one or more tiles in a first image. The method may also include performing, for each of the one or more tiles, an image processing operation on an image processing region within the tile based on a second image for K iterations, decreasing the size of the image processing region with each iteration, wherein K is an integer above 2.

Abstract: A system includes a storage device storing a set of instructions and at least one processor in communication with the storage device. When executing the instructions, the at least one processor is configured to cause the system to obtain a first operation mode of the optical filter and determine a brightness value of visible light of ambient light. The at least one processor may also cause the system to obtain a brightness threshold related to the first operation mode, compare the brightness value of the visible light of the ambient light with the brightness threshold, and determine whether a switching condition is satisfied based on the comparison result. Upon the determination that the switching condition is satisfied, the at least one processor may further cause the system to switch the first operation mode of the optical filter to a second operation mode.

Abstract: A method and system for operating a signal filter device are provided in the present disclosure. The signal filter device may include M adaptive filters, M first analysis filters, M second analysis filters, and a controller. M may be an integer above two. The method may include generating, by the M first analysis filters, M first sub-band signals based on an input signal. The method may also include generating, by the M second analysis filters, M second sub-band signals based on a reference signal. The method may further include adjusting, by the controller, the working states of the M adaptive filters based on correlations between the M first sub-band signals and the M second sub-band signals.

Abstract: Systems and methods for tracking an object in video surveillance are provided. A method may include obtaining a video including a plurality of consecutive frames; obtaining a current frame from the plurality of consecutive frames, wherein an object of interest is identified in at least two previous frames of the current frame; obtaining at least two template frames from the at least two previous frames; and identifying a position related to the object of interest in the current frame based on the at least two template frames using a correlation filter.

Abstract: Systems and methods for target region evaluation and feature point evaluation are provided. The methods may include obtaining an image including a target region and extracting a plurality of feature points associated with the target region. The methods may further include, for each of the plurality of feature points, determining a sub-region including the feature point. The methods may further include performing a first grouping operation on the plurality of feature points to generate a plurality of first groups of sub-regions according to a first rule, and determining, based on the plurality of first groups of sub-regions, a confidence level associated with the target region using a plurality of trained models for processing the plurality of first groups of sub-regions, respectively. Each of the plurality of trained models may be associated with a set of model parameters. At least two sets of model parameters may be different.

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: An image capture method may include obtaining two or more sets of images. The two or more sets of images may include a first image captured by a first image capture device and a second image captured by a second image capture device. The method may also include determining, for a set of images, two or more pairs of points. Each of the two or more pairs of points may include a first point in the first image and a second point in the second image, and the first point and the second point may correspond to a same object. The method may also include determining a first rotation matrix based on the pairs of points in the two or more sets of images. The first rotation matrix may be associated with a relationship between positions of the first image capture device and the second image capture device.

Abstract: A system for object recognition are provided in the present disclosure. The system may obtain a first image of an object that is captured by a camera configured to capture one or more images for use in an object recognition process under a first scenario; obtain a second image of the object that is captured under a second scenario; assess a degree of similarity between the first image of the object and at least one sample image; and determine a calibration function to calibrate the degree of similarity between the first image of the object and the at least one sample image based at least on a correlation between the second image of the object and the at least one sample image, wherein the calibration function is to be applied in association with the one or more images captured by the camera in the object recognition process.

Abstract: The present disclosure relates to a polarity correction circuit. The polarity correction circuit may include a detection module and a switching module. The detection module may be configured to detect a polarity of a DC voltage transmitted to a powered device and generate one or more control signals based on the polarity of the DC voltage. The switching module may be configured to receive the one or more control signals and a data signal transmitted from the powered device. The switching module may be further configured to adapt a polarity of the data signal based on the one or more control signals such that the polarity of the data signal is accordant with the polarity of the DC voltage.

Abstract: A method for controlling a gate device in connection with at least one gate and two frameworks connected to the at least one gate is provided. The method may include identifying an authorization status of an object. The method may include detecting pressure signals caused by the object at a first moment, if the authorization status is satisfied. The method may include determining whether or not an illegal tailgating event occurred based on the pressure signals. The method may further include generating a control signal for opening the at least one gate to facilitate the object to pass through the at least one gate in response to a determination that the illegal tailgating event did not occur.

Abstract: The present disclosure relates to a lighting device for automatically switching between a visible light source and an infrared light source. The lighting device may include a light source, an infrared filter, and a driving module for driving the infrared filter.

Abstract: The present disclosure relates to systems and methods for managing a floating population. The systems may perform the methods to obtain a register of a user from a user terminal via at least one terminal interface; receive a fingerprint input instruction from an administrator terminal via the at least one terminal interface; send the fingerprint input instruction to a fingerprint lock via the at least one network interface; obtain at least one fingerprint of the user from the fingerprint lock via the at least one network interface; send a notification to the administrator terminal via the at least one terminal interface after obtaining the at least one fingerprint of the user; and obtain a permission from the administrator terminal via the at least one terminal interface to permit the user associated with the user terminal to open the fingerprint lock using one of the at least one fingerprint.

Abstract: The present disclosure relates to systems and methods for intra prediction. The methods may include obtaining a current chroma block; obtaining a plurality of luma prediction modes, wherein the plurality of luma prediction modes includes prediction modes at a plurality of positions of a luma block associated with the current chroma block; and selecting a luma prediction mode from the plurality of luma prediction modes as a candidate chroma prediction mode for predicting samples of the current chroma block.