Abstract: Embodiments of the present application provide a method and apparatus for determining a trajectory of a human target. The method includes: extracting a target feature of a to-be-tracked human target in a to-be-processed image as a to-be-searched target feature; searching for an acquisition attribute corresponding to the to-be-searched target feature based on a pre-established correspondence between target features and acquisition attributes; determining a trajectory of the to-be-tracked human target based on the found acquisition attribute. It can be seen that in this solution, a face image is not required for determining a trajectory of a person. Even if the acquired face image is not clear, the accuracy of determining the trajectory of the person will not be reduced. Therefore, by the solution of the present application, the accuracy of determining the trajectory of the person is improved.

Abstract: The embodiments of the present application provide a method and apparatus for recognizing an identity of a human target. The method includes: obtaining a to-be-recognized image; extracting a target feature of a to-be-recognized human target in the to-be-recognized image as a to-be-searched target feature; searching for a facial information item corresponding to the to-be-searched target feature based on a pre-established correspondence between target features and facial information items; and determining an identity of the to-be-recognized human target based on the found facial information item. It can be seen that, in this solution, there is no need to extract the facial features in the image, and even if the facial region is not clear or is shaded by other objects in the image, the accuracy of identity recognition is reduced. Therefore, accuracy of identity recognition is improved.

Abstract: A method and an apparatus for capturing a target object and a video monitoring device are disclosed. The method includes: detecting target objects in a current panoramic video frame acquired by a panoramic camera; determining detail camera position information corresponding to each of the target objects, and determining a magnification corresponding to the target objects; performing block processing on the target objects to obtain at least one target block; for each target block, identifying first target objects, at edge positions, among target objects included in the target block, and determining, based on the first target objects, the detail camera position information and the magnification corresponding to the target block; for each target block, controlling the detail camera to adjust its position and magnification based on the detail camera position information and the magnification corresponding to the target block, and controlling the adjusted detail camera to capture the target block.

Abstract: Embodiments of the present application provide a method, apparatus and video monitoring device for capturing a target object. The method comprises detecting target objects in current panoramic video frame acquired by panoramic camera, and determining first position information, size, moving direction, and speed information of each target object in the current panoramic video frame; calculating position information for capturing of each target object; determining detail camera position information corresponding to each target object and determining a magnification corresponding to each target object according to size thereof; and determining a tracking duration for each target object, and controlling, for each target object, the detail camera to adjust its position and magnification according to the detail camera position information and magnification corresponding to the target object, and controlling the adjusted detail camera to capture the target object within the tracking duration for the target object.

Abstract: Systems and methods are provided for hybrid video encoding. An example method includes: acquiring image information; extracting a background image based at least in part on the image information; detecting whether the background image is stable; and performing encoding switching between a background-based encoding method and a non-background encoding method based at least in part on the detection.

Abstract: Embodiments of the present application provide a navigation method, device and system. The method is applicable to a server and comprises: receiving current position characteristic information sent by a mobile terminal, and determining a position of an area matching the current position characteristic information based on the current position characteristic information and a locally stored database, and taking the determined position as an initial position; receiving target position characteristic information sent by the mobile terminal, determining a position of an area matching the target position characteristic information based on the target position characteristic information and the database, and taking the determined position as a target position; and determining a first route from the initial position to the target position and displaying the first route on an electronic map of the mobile terminal.

Abstract: The present application discloses a method and a device for image stitching. The method includes: obtaining a first image acquired by a first camera and a second image acquired by a second camera, wherein the first image is an image with visible light information, the second image is an image including depth information and visible light information, the first camera and the second camera are disposed adjacent to each other, and there is an overlapping area between the acquired first image and second image; mapping pixels in the second image to the overlapping area and/or an extended area, wherein the extended area is an image area formed by pixels in the second image which are mapped to the outside of the first image; stitching the mapped pixels in the second image to the overlapping area and/or the extended area based on depth information and visible light information of the pixels in the second image to obtain a stitched image.

Abstract: Embodiments of the present application provide a method and apparqatus for determining a trajectory of a human target. The method includes: extracting a target feature of a to-be-tracked human target in a to-be-processed image as a to-be-searched target feature; searching for an acquisition attribute corresponding to the to-be-searched target feature based on a pre-established correspondence between target features and acquisition attributes; determining a trajectory of the to-be-tracked human target based on the found acquisition attribute. It can be seen that in this solution, a face image is not required for determining a trajectory of a person. Even if the acquired face image is not clear, the accuracy of determining the trajectory of the person will not be reduced. Therefore, by the solution of the present application, the accuracy of determining the trajectory of the person is improved.

Abstract: Embodiments of the present application provide a method, apparatus and video monitoring device for capturing a target object. The method comprises detecting target objects in current panoramic video frame acquired by panoramic camera, and determining first position information, size, moving direction, and speed information of each target object in the current panoramic video frame; calculating position information for capturing of each target object; determining detail camera position information corresponding to each target object and determining a magnification corresponding to each target object according to size thereof; and determining a tracking duration for each target object, and controlling, for each target object, the detail camera to adjust its position and magnification according to the detail camera position information and magnification corresponding to the target object, and controlling the adjusted detail camera to capture the target object within the tracking duration for the target object.

Abstract: A method for obtaining a combined depth map, and a depth camera. The method is applicable to a processor in the depth camera. The depth camera includes the processor, at least one light emitting element, and at least two time-of-flight (ToF) sensors, and the composite irradiation range of the at least one light emitting element convers the composite field of view of the at least two ToF sensors. The light emitting elements in the depth camera modulate light signals with the same modulation signal and then transmit the modulated light signals; the ToF sensors demodulate, by using same demodulation signal corresponding to the modulation signal, the received modulated light signal reflected back by an object, so as to generate depth data; and the processor performs data fusion processing on all the received depth data, so as to obtain a combined depth map.

Abstract: The embodiments of the present application provide a method and apparatus for recognizing an identity of a human target. The method includes: obtaining a to-be-recognized image; extracting a target feature of a to-be-recognized human target in the to-be-recognized image as a to-be-searched target feature; searching for a facial information item corresponding to the to-be-searched target feature based on a pre-established correspondence between target features and facial information items; and determining an identity of the to-be-recognized human target based on the found facial information item. It can be seen that, in this solution, there is no need to extract the facial features in the image, and even if the facial region is not clear or is shaded by other objects in the image, the accuracy of identity recognition is reduced. Therefore, accuracy of identity recognition is improved.

Abstract: A method and an apparatus for capturing a target object and a video monitoring device are disclosed. The method includes: detecting target objects in a current panoramic video frame acquired by a panoramic camera; determining detail camera position information corresponding to each of the target objects, and determining a magnification corresponding to the target objects; performing block processing on the target objects to obtain at least one target block; for each target block, identifying first target objects, at edge positions, among target objects included in the target block, and determining, based on the first target objects, the detail camera position information and the magnification corresponding to the target block; for each target block, controlling the detail camera to adjust its position and magnification based on the detail camera position information and the magnification corresponding to the target block, and controlling the adjusted detail camera to capture the target block.

Abstract: When performing an inter predictive encoding on any image frame x is required, a reference image frame is determined for image x; image x is a P-frame image or a B-frame image; for each reference image frame, following processes are respectively performed: whether resolution of a reference image frame is the same as resolution of image x is determined; if resolution of the reference image frame is different from resolution of image x, resolution of reference image frame is adjusted to be the same as resolution of image x; if resolution of each reference image frame is the same as resolution of image x, inter predictive encoding is performed on image x based on each reference image frame.

Abstract: Systems, devices and methods are provided for video encoding and decoding. An example method includes: analyzing one or more input images; obtaining a background image from the one or more input images; encoding the background image to obtain a background frame; decoding the background frame to obtain a reconstructed image of the background frame; obtaining a first image from the one or more input images; encoding at least partially the first image to obtain a refreshment frame based at least in part on a difference between the first image and the reconstructed image of the background frame; obtaining a second image from the one or more input images; encoding at least partially the second image to obtain a common frame; and generating a video bit stream based at least in part on the background frame, the refreshment frame and the common frame.

Abstract: The disclosure discloses a video bit rate control method and a video coding device. The method includes: according to a pre-set first bit rate value and a code size generated in a previous period of time, a first quantization parameter is generated (S1); according to a pre-set second bit rate value and the code size generated in the previous period of time, a second quantization parameter is generated (S2); the first quantization parameter is composed with the second quantization parameter (S3); if the first quantization parameter is greater than or equal to the second quantization parameter, an image frame in a current period of time is coded by using the first quantization parameter (S4); and if the first quantization parameter is less than the second quantization parameter, the image frame in the current period of time is coded by using the second quantization parameter (S5).

Abstract: The embodiments of the present application provide a navigation method, device and system. The method is applied to a server. The method includes: receiving current position feature information sent by a mobile terminal, determining a position of an area matching the current position feature information based on the current position feature information and a database stored in the server, and taking the position as an initial position; determining a position of one empty area of the areas as a target position based on position information corresponding to respective areas and correspondence relationship between identification information of the respective areas and the respective feature information currently stored in the database; and determining a first route from the initial position to the target position and displaying the first route on an electronic map of the mobile terminal.

Abstract: Embodiments of the present application provide a navigation method, device and system. The method is applicable to a server and comprises: receiving current position characteristic information sent by a mobile terminal, and determining a position of an area matching the current position characteristic information based on the current position characteristic information and a locally stored database, and taking the determined position as an initial position; receiving target position characteristic information sent by the mobile terminal, determining a position of an area matching the target position characteristic information based on the target position characteristic information and the database, and taking the determined position as a target position; and determining a first route from the initial position to the target position and displaying the first route on an electronic map of the mobile terminal.

Abstract: Embodiments of the present application disclose a method and a device for synthesizing depth images, which relate to the technical field of image processing.

Abstract: The embodiments of the present application provide a navigation method, device and system. The method is applied to a server. The method includes: receiving current position feature information sent by a mobile terminal, determining a position of an area matching the current position feature information based on the current position feature information and a database stored in the server, and taking the position as an initial position; determining a position of one empty area of the areas as a target position based on position information corresponding to respective areas and correspondence relationship between identification information of the respective areas and the respective feature information currently stored in the database; and determining a first route from the initial position to the target position and displaying the first route on an electronic map of the mobile terminal.

Abstract: Systems and methods are provided for hybrid video encoding. An example method includes: acquiring image information; extracting a background image based at least in part on the image information; detecting whether the background image is stable; and performing encoding switching between a background-based encoding method and a non-background encoding method based at least in part on the detection.