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Method for target correlation and track generation of image sequence

An image sequence and target association technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of inability to meet the accuracy requirements of video surveillance, inaccurate target trajectories, and small amount of calculation, etc., to achieve enhanced real-time performance and reduced The effect of small calculation amount and improved accuracy

Active Publication Date: 2014-07-09
HOHAI UNIV
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Problems solved by technology

This method is simple in operation and has a small amount of calculation, but the generated target trajectory is often not accurate enough to meet the accuracy requirements of video surveillance

Method used

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  • Method for target correlation and track generation of image sequence
  • Method for target correlation and track generation of image sequence
  • Method for target correlation and track generation of image sequence

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Embodiment Construction

[0024] The invention relates to a method for image sequence target association and trajectory generation, which obtains better correlation matching results by extracting various features of the target in stages; at the same time, the matching target combinations are connected step by step, and the obtained trajectory segments are continuously transferred to two End expansion, and finally get the complete trajectory of each target appearing in the camera monitoring range.

[0025] The method of the invention first detects the target in the image sequence, and marks the target object in each frame of image with a rectangular frame. Since there are multiple target detection results in each frame of image, assuming that n and m targets are detected in t-1 frame and t frame of image respectively, it is necessary to calculate the affinity of the targets detected in these two frames The distance values ​​are then sorted to select the best association combination, that is, a total of ...

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Abstract

The invention discloses a method for target correlation and track generation of an image sequence. The method comprises the steps that a multistage correlative mechanism is designed, multiple static features and dynamic features of targets are extracted stage by stage, and different target affinity distance models are formed on different correlation stages, so that the multiple features of the targets are fully comprehended to conduct data correlation, and the accuracy of correlation is improved; meanwhile, based on a data correlation result, in the same image background, matched target center points are connected stage by stage, each obtained track section expands to the two ends continuously, and finally a complete motion track of each target is obtained. According to the method, various simple features of the targets are extracted stage by stage, so that multi-target correlation and track generation of a single-camera video are achieved reliably and rapidly, and the calculated amount is extremely small.

Description

technical field [0001] The invention relates to the technical field of video monitoring and computer vision, in particular to an image sequence object association and trajectory generation method. Background technique [0002] At present, video surveillance technology has been widely used in public security, intelligent transportation, industrial process and many other monitoring and monitoring. Among them, obtaining the target trajectory in the video image to further analyze the target movement behavior has become the focus of many researchers. [0003] In the process of obtaining the target trajectory through tracking, the well-known methods such as mean shift, particle filter, and Kalman filter all have the problems of complex algorithms and large amount of calculation, so they are only suitable for obtaining single target trajectory. The speed will slow down when acquiring multi-target trajectories, which cannot meet the real-time requirements of video surveillance. [...

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Application Information

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IPC IPC(8): G06T7/20
Inventor 王慧斌侯江岩沈洁杜敏
Owner HOHAI UNIV
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