Abstract: A neural network-based image processing method may include receiving, by a trained neural network, a first image including a first object, the first object being partially covered by a second object. The method may also include generating, by the trained neural network, a second image based on the first image. The second image is a representation of the first image with the second object substantially removed, and the first object is a human face.

Abstract: The present disclosure relates to systems and methods for transmitting a plurality of channels of primary analog signals to at least one terminal device. The method may include combining, by a signal combining device, the plurality of channels of primary analog signals into a combined analog signal. The method may also include transmitting, by the signal combining device, the combined analog signal to a signal dividing device via a cable. The method may further include dividing, by the signal dividing device, the combined analog signal into a plurality of channels of divided analog signals, each of the plurality of channels of divided analog signals corresponding to one of the plurality of channels of primary analog signals. The method may still further include transmitting, by the signal dividing device, the plurality of channels of divided analog signals to the at least one terminal device.

Abstract: The present disclosure relates to image capture systems and methods. The image capture method may include obtaining first color image data including color information with an infrared light source off. The image capture method may also include obtaining first luminance image data including luminance information with the infrared light source on. The image capture method may also include generating a first enhanced image based on the first color image data and the first luminance image data.

Abstract: The present disclosure relates to systems and methods video recording and video replaying. The method may include obtaining video data from a video recording device. The method may also include generating an index item corresponding to the video data if the video data includes a key frame, wherein the index item includes an index position of the video recording device corresponding to the key frame, and an offset address used to determine an address where the key frame is stored. The method may further include storing an index table including at least the index item in a video.

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 and system for image processing are provided in the present disclosure. The method may include obtaining a plurality of source images generated by a plurality of imaging sensors. The method may also include processing each of the plurality of source images by: retrieving a plurality of source image blocks from the source image according to block position information associated with the corresponding imaging sensor; generating, for each of the plurality of source image blocks, a target image block based on the source image block; and forming a target image based on the generated target image blocks. The method may further include generating a combined image based on the target images.

Abstract: The present disclosure relates to a system, method and non-transitory computer readable medium for reverse image searching. The system includes a storage device storing a set of instructions; and one or more processors in communication with the storage device. When executing the set of instructions, the one or more processors: obtain a target part of reference image features of a reference image; obtain a target part of target image features of a target image; determine, based on the target part of the reference image features and the target part of the target image features, whether the target image is similar to the reference image; and mark, upon a determination that the target image is similar to the reference image, the target image as a similar image of the reference image.

Abstract: The present disclosure relates to systems and methods for adjusting a monitoring device. The system may obtain one or more first monitoring images. The system may obtain, for each of one or more regions, a statistical value of at least one object in the region based on the one or more first monitoring images. The system may determine an adjustment instruction based on statistical values of the at least one object in the one or more regions. The system may adjust at least one monitoring setting of at least one monitoring device based on the adjustment instruction. The at least one monitoring device may be used to capture one or more second monitoring images.

Abstract: The present disclosure relates to systems, methods, and devices for capturing images. The system may determine at least one first object in a first monitoring image acquired by a first capture device. The system may determine a target monitoring position based on position information associated with the at least one first object in the first monitoring image. The system may obtain a second monitoring image associated with the target monitoring position acquired by a second capture device. The system may determine at least one second object in the second monitoring image. The system may identify at least one matched second object from the at least one second object based on relevancy information among the at least one second object and the at least one first object. The system may direct the second capture device to capture at least one capture image of the at least one matched second object.

Abstract: A method for super-resolution image reconstruction may include obtaining an original image that has first resolution and includes a target object. The method may also include generating a first target image by increasing the first resolution of the original image. The method may also include determining first feature points relating to the target object based on the first target image. The method may also include determining first priori information relating to the target object based on the first feature points relating to the target object. The method may also include generating a second target image having second resolution higher than the first resolution based on the first priori information relating to the target object and the first target image.

Abstract: The present disclosure relates to systems and methods for generating an occlusion region in an image. The system includes a plurality of imaging devices, a storage device and at least one processor in communication with the storage device, wherein each of the plurality of imaging devices is configured to capture a component image presenting a scene. When executing the instructions, the at least one processor is configured to cause the system to determine a first occlusion region in an image formed based on at least one component image. The at least one processor is configured to determine how to generate a second occlusion region in at least one of the plurality of component images based on the area of the first occlusion region and an area threshold.

Abstract: A system and method for rendering an object box of an object in an image is provided in the present disclosure. The method includes obtaining a plurality of images, in a temporal sequence, each of the plurality of images relating to an object. The method also includes obtaining a first processed image by performing a smart algorithm analysis on a first image in the plurality of images, the smart algorithm analysis including identifying the object in the first image and determining a first coordinate of the object in the first image. The method further includes determining a first pixel distance between the object in two adjacent images in the plurality of images and rendering an object box for the object in each of the plurality of images for display based on the first coordinate of the object in the first image and the first pixel distance.

Abstract: The present disclosure relates to a method for determine exposure parameters of each camera in a multi-view camera. The method may initiate an iteration process including iteration(s). Each current iteration may include: determining a reference exposure brightness; determining whether a first difference between the reference exposure brightness and a predetermined exposure brightness is within a first difference-range; if the first difference is not within the first difference-range, updating a first exposure brightness of each camera by adjusting first exposure parameters of the camera, and re-initiating a current iteration; if the first difference is within the first difference-range, designating the first exposure parameters of each camera as the current exposure parameters of the camera.

Abstract: A method for processing log data in a server system is disclosed. The method includes: extracting level information associated with the log data, wherein the level information comprises at least one log level indicative of severity of a log event; filtering the log data based at least in part on the level information to generate filtered log data; and correcting, using a processor, the level information in response to determining that the level information of the filtered log data does not match the log event.

Abstract: The present disclosure relates to systems and methods for controlling a stepping motor. A method may include determining a driving voltage based on a function, wherein the function includes a predetermined electric current and operating parameters of the stepping motor; and driving the stepping motor to work based on the driving voltage via an H-bridge.

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: Systems and methods for data storage are provided. The systems may include one or more storage modules and one or more computing modules. The systems may obtain data to be processed. The systems may determine a required storage bandwidth based on the data to be processed. The systems may determine a distribution mode of a current computing bandwidth of the one or more computing modules based on a current storage bandwidth of the one or more storage modules and the required storage bandwidth.

Abstract: A system and method for jointly displaying an image and a map is disclosed. The method may including obtaining an image captured by a camera. The image may include a target in a surrounding environment of the camera. The method may further include obtaining a map of the surrounding environment. The map may at least include a location corresponding to the target and a location corresponding to the camera. The method may jointly display the image and the map, wherein a representation of the image is aligned with the location corresponding to the target and the location corresponding to the camera in the map.

Abstract: A system and a method for image searching. The method may include obtaining a target image and a plurality of images, wherein at least one similar image to the target image is to be searched from the plurality of images. The method may include determining a target feature vector of the target image and a feature vector of each of the plurality of images, each of the target feature vector and the feature vectors being an N-dimensional feature vector in an N-dimensional feature space. The method may include determining a search region in the N-dimensional feature space. The method may include determining one or more candidate images, the feature vector of each candidate image being within the search region. The method may further include determining the at least one similar image to the target image among the one or more candidate images.