A detection and tracking method and system based on circular frame buffer

A circular buffer and frame buffer technology, which is applied to instruments, character and pattern recognition, computer components, etc., can solve the problems of detection target failure, blocking tracking operation, limited parallelism, etc., to reduce target missed detection. Probability, increase the proportion of time, the effect of improving performance
CN106778503BActive Publication Date: 2018-04-03SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
Publication Date
2018-04-03

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Abstract

The present invention relates to a method for detection and tracking based on buffering, including several detectors, including the following steps: A, establishing a circular buffer on the time axis; B, extracting a video according to a strategy from a continuous frame sequence input in real time Frame and record the frame number; C. Send the selected frames to several target detectors for parallel target detection; D. Address the buffer according to the detected source frame number and read the corresponding source frame number The frame is set as the start frame, and the start frame is StartFrame(a), StartFrame(b), StartFrame(c), StartFrame(d)....etc; E. For each detected target in the buffer and the corresponding start frame for initialization processing and tracking processing for the target. The proportion of time that can be used for actual calculation in the tracking process is increased, which improves the tracking performance and supports a larger tracking target set.
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Description

technical field

[0001] The invention belongs to the technical field of detection and tracking of frame data, and in particular relates to a detection and tracking method and system based on a circular frame buffer. Background technique

[0002] At present, based on video intelligent analysis and processing, it has been more and more widely used in various fields. In these applications, a key issue is: how to efficiently detect objects of interest from continuous multi-frame video and / or images, and continuously track these detected objects; that is, the objects in the video stream detection and tracking issues.

[0003] Typically, a general solution to this type of problem is framed as figure 1 shown.

[0004] In the above detection and tracking processing framework, usually the algorithms used for target detection and tracking consume a lot of computing resources, and it is usually impossible to realize real-time data processing in a single thread of a single processor. ...

Claims

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