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 methods and apparatuses for object detection and of computer devices are disclosed.

Abstract: Disclosed is an image analysis method and apparatus, upon a program crash on a computing node, the central node may acquire the image analysis task that results in the crash, split the image analysis task into multiple image analysis sub-tasks, transmit sequentially the image analysis sub-tasks to the computing node until a program crash occurs thereon. The central node then acquires an error image analysis sub-task that results in the crash on the computing node, and discard the error image analysis sub-task. The image analysis method can discard only the crash resulting image from an image analysis task, while other images in the image analysis task are retained. As such, fewer images are lost, so that the duration of a frame loss during video playback can be reduced and the reliability of image analysis can be improved. The approach is applicable for image analysis.

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: Embodiments of the present application disclose a video playback method and apparatus, which relate to the field of video communication technologies. The method includes: receiving a data obtaining request for a video to be played back sent by a client; estimating a current data transmission speed according to historical data transmission speeds; selecting a target video frame discarding scheme from preset video frame discarding schemes, according to the current data transmission speed and a theoretical data transmission speed corresponding to a preset video frame discarding scheme, wherein the theoretical data transmission speed is determined according to the multiplied speed for video playback; and performing discard processing on video data of the video to be played back according to the target video frame discarding scheme, and sending to the client the video data that has been subjected to the discard processing, so that the client plays back the video to be played back.

Abstract: Systems, devices and methods are provided for video encoding. For example, video data is encoded based at least in part on a preset encoding algorithm to obtain a video encoding stream that comprises a plurality of coding frames. A stream tag is added for the video encoding stream, and a frame tag is added for each coding frame in the video encoding stream. The stream tag includes information characterizing whether the stream tag is added into the video encoding stream. The frame tag includes type information of the coding 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: Embodiments of the present application provide an image fusion apparatus and an image fusion method. The image fusion apparatus includes: a light acquisition device, an image processor, and an image sensor having four types of photosensitive channels. The four types of photosensitive channels include red, green and blue RGB channels and an infrared IR channel. The light acquisition device is configured to filter a spectrum component of a first predetermined wavelength range from incident light to obtain target light. The first predetermined wavelength range is a spectrum wavelength range in which a difference between the responsivities of the RGB channels and the responsivity of the IR channel in the image sensor in the infrared band is higher than a first predetermined threshold. The image sensor is configured to convert the target light into an image signal through the RGB channels and the IR channel.

Abstract: A multi-spectrum based image fusion apparatus is disclosed, which includes a light acquisition device, an image processor, and an image sensor having five types of photosensitive channels. The five types of photosensitive channels including red, green and blue RGB channels, an infrared IR channel and a full-band W channel. The light acquisition device acquires target light corresponding to incident light. The image sensor converts the target light into an image signal through the RGB channels, the IR channel and the W channel. The image processor analyzes the image signal into RGB color signals and a brightness signal, and fuses the RGB color signals and the brightness signal to obtain a fused image. The collection of the channels based on which the RGB color signals and the brightness signal are obtained includes the five types of photosensitive channels.

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 disclose a target detection method and device, and relate to the technical field of video processing.

Abstract: The present application discloses a method and an apparatus for displaying an image based on privacy masking, which belong to the field of video monitoring. The method includes: acquiring a to-be-masked original image provided by an image capture terminal and privacy masking area information of the original image; wherein, the privacy masking area information is obtained by identifying the original image or is obtained from the image capture terminal and indicates an area in the original image which is required to be masked; determining whether the original image is required to be privacy-masked based on whether privacy unmasking permission information is stored; if the original image is required to be privacy-masked, performing privacy-masking on the original image based on the privacy masking area information to obtain a masked image, and displaying the masked image.

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 embodiments of the present disclosure disclose a method and apparatus for reading or writing disk data. The disk includes a primary metadata block storing metadata, a backup metadata block for backing up metadata, and at least one object block group. Each object block group includes a data block storing object data, and an index block storing an index of the object data. The primary metadata block is located at a head of the disk; and the backup metadata block is located at a tail of the disk. The at least one object block group is located between the primary metadata block and the backup metadata block. In reading or writing object data, the index in the index block, the metadata in the primary metadata block and the metadata backed up in the backup metadata block can be separately operated. By applying the embodiments of the present disclosure, the life and security of the disk are increased.

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: Embodiments of the present application disclose a video playback method and apparatus, which relate to the field of video communication technologies. The method includes: receiving a data obtaining request for a video to be played back sent by a client; estimating a current data transmission speed according to historical data transmission speeds; selecting a target video frame discarding scheme from preset video frame discarding schemes, according to the current data transmission speed and a theoretical data transmission speed corresponding to a preset video frame discarding scheme, wherein the theoretical data transmission speed is determined according to the multiplied speed for video playback; and performing discard processing on video data of the video to be played back according to the target video frame discarding scheme, and sending to the client the video data that has been subjected to the discard processing, so that the client plays back the video to be played back.

Abstract: A method and apparatus for constructing a 3D scene model are provided. The method includes: acquiring a first point cloud corresponding to a current target scene (S101); determining a first partial point cloud corresponding to a dynamic object from the first point cloud (S102); constructing a foreground 3D model based on the first partial point cloud (S103); and superimposing the foreground 3D model with a background 3D model to obtain a current 3D scene model (S104). As can be seen, it is not necessary to fuse each pixel acquired by each depth camera. Instead, the dynamic object is determined in the point cloud acquired by the depth camera. Only the foreground 3D model corresponding to the dynamic object is superimposed with the background 3D model corresponding to the static objects obtained in advance. This reduces the amount of computation to build a 3D scene model.

Abstract: A depth measuring method and system applicable to a first binocular camera having a zoom lens is provided.