Abstract: Embodiment of the present application disclose data storage, data reading, and data cleaning methods and devices, and a cloud storage system. Storage blocks of storage nodes are grouped into resource pools. The data is stored, read, and cleaned in units of resource pools, thereby reducing the workload of management. In particular, the method includes: for each resource pool, determining a first number of occupied storage blocks in the resource pool (S401); determining whether the first number meets a preset data cleaning condition (S402); if so, sending a data cleaning instruction to a storage node where each occupied second storage block in the resource pool is located, such that the storage node cleans the data stored on the second storage block in the storage node (S403). That is to say, the management node determines the number of occupied storage blocks of a resource pool. When the number meets a preset data cleaning condition, the data in the storage block is cleaned.

Abstract: The embodiments of the present application provide an image segmentation method, an image segmentation apparatus, and a fully convolutional network system. The method includes: acquiring a target image to be processed; acquiring image feature data of the target image; inputting the image feature data into a pre-trained target network far image segmentation to obtain an output; wherein the target network is a fully convolutional network comprising a hybrid context network structure, and the hybrid context network structure is configured to extract a plurality of reference features at a predetermined scale and fuse them into a target feature that matches a scale of a target object in a segmented image; and wherein the target network is trained with sample images containing target objects at different scales; and obtaining an image segmentation result for the target image based on the output.

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: The disclosure discloses a method, device and system for target tracking. Wherein, the method for target tracking includes that: Global Positioning System (GPS) information of a target object monitored by tracking equipment is acquired (S102); Pan/Tilt/Zoom (PTZ) coordinate information corresponding to the GPS information of the target object is obtained according to a pre-stored conversion relationship between GPS information and PTZ coordinate information (S104); and the tracking equipment is regulated to control the tracking equipment to monitor the target object according to the PTZ coordinate information of the target object (S106). The problem of inaccuracy of a monitoring result of a method for monitoring a tracking target in the conventional art is solved.

Abstract: Systems and methods are provided for video display control. An example method includes: determining, by one or more processors, whether a coding frame extracted from a video coding stream is an I Frame; if the coding frame extracted from the video coding stream is an I Frame, acquiring, by the one or more processors, a timestamp of the I Frame and a timestamp of an adjacent coding frame after the I Frame; and controlling, by the one or more processors, display of the I Frame based on the timestamp of the I Frame and the timestamp of the adjacent coding frame after the I Frame.

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: The present application relates to the field of monitoring, and discloses a method and a device for obtaining evidences for illegal parking of a vehicle. In the method for obtaining evidences of the present application, a correspondence relationship between shooting positioning parameters of a first camera and a second camera is preset. The method for obtaining evidences comprises: taking a first photo of an illegally parked vehicle using the first camera and obtaining a current first shooting positioning parameter of the first camera; according to the correspondence relationship, calculating a second shooting positioning parameter of the second camera corresponding to the first shooting positioning parameter and controlling the second camera to take a second photo with the second shooting positioning parameter. Thereby the photos of the head and rear of the illegally parked vehicle are obtained simultaneously as the evidences for illegal parking for penalty.

Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a license plate.

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: Systems and methods are provided for video display control. An example method includes: determining, by one or more processors, whether a coding frame extracted from a video coding stream is an I Frame; if the coding frame extracted from the video coding stream is an I Frame, acquiring, by the one or more processors, a timestamp of the I Frame and a timestamp of an adjacent coding frame after the I Frame; and controlling, by the one or more processors, display of the I Frame based on the timestamp of the I Frame and the timestamp of the adjacent coding frame after the I Frame.

Abstract: Systems, devices and methods are provided for video storage. For example, video data is acquired for generating buffer zone data, the buffer zone data beginning with an I frame or an R frame of the video. At least part of the buffer zone data is stored to a storage fragment in a storage area. In response to the storage fragment being newly opened and a first frame of the at least part of the buffer zone data being an R Frame, an I Frame with reference relation to the first frame is inserted to the storage fragment, the R Frame corresponding to a picture frame referring to the I Frame.

Abstract: A method and apparatus for acquiring people flow information, and a method and apparatus for processing people flow information are provided.

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 present application discloses a method and system for processing image signals, the method and system sensing visible light bands of optical signals in an area to be imaged, via a first imaging unit, to generate a first image signal, wherein the first image signal includes color information; sensing at least infrared bands of optical signals in the area to be imaged, via a second imaging unit, to generate a second image signal, wherein the second image signal includes illumination information; and synthesizing the first image signal and the second image signal to generate a synthesized image with color information and illumination information. The present application can generate a synthesized image with a variety of advantages, and can meet the two monitoring requirements in low illumination and haze environment which are focused in the field of security.

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: An image retrieval method and system are provided.

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 present application relates to the field of monitoring, and discloses a method and a device for obtaining evidences for illegal parking of a vehicle. In the method for obtaining evidences of the present application, a correspondence relationship between shooting positioning parameters of a first camera and a second camera is preset. The method for obtaining evidences comprises: taking a first photo of an illegally parked vehicle using the first camera and obtaining a current first shooting positioning parameter of the first camera; according to the correspondence relationship, calculating a second shooting positioning parameter of the second camera corresponding to the first shooting positioning parameter and controlling the second camera to take a second photo with the second shooting positioning parameter. Thereby the photos of the head and rear of the illegally parked vehicle are obtained simultaneously as the evidences for illegal parking for penalty.

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 disclosure discloses a method, device and system for target tracking. Wherein, the method for target tracking includes that: Global Positioning System (GPS) information of a target object monitored by tracking equipment is acquired (S102); Pan/Tilt/Zoom (PTZ) coordinate information corresponding to the GPS information of the target object is obtained according to a pre-stored conversion relationship between GPS information and PTZ coordinate information (S104); and the tracking equipment is regulated to control the tracking equipment to monitor the target object according to the PTZ coordinate information of the target object (S106). The problem of inaccuracy of a monitoring result of a method for monitoring a tracking target in the conventional art is solved.