A Moving Object Tracking Method Oriented to Occlusion and Scene Transformation

Abstract

The invention discloses a motion target tracing method towards shielding and scene change. The motion target tracing method towards shielding and scene change comprises the following steps: a, conducting prospect motion detection on input video sequence, and extracting a motion target; b, if feature of a tracing target is stored, then entering step d; if feature of the tracing target is not stored, then completing formwork initialization of a target object, SURF feature extraction and initialization of a Kalman filter according to area selected by a user; c, adopting a method based on the Kalman filter to conduct prediction tracing on a motion target, and entering step e till the video content ends; when shielding occurs in the tracing process, then entering step d; d, utilizing matching method based on the SURF feature to determine the tracing target, when feature matching tends to stabilize and judge the shielding as ending, reinitializing the Kalman filter and entering step c; e, outputting and storing the target object feature information. The motion target tracing method towards shielding and scene change is a complete set of video motion target tracing method applied to a fixed background monocular camera and can be manufactured into software, and application is convenient.

Description

technical field [0001] The invention belongs to the field of image processing technology and tracking technology of moving objects. Specifically, it involves the combination of kalman filter and SURF method to realize the fast and accurate tracking method of moving objects under occlusion and scene change. Background technique [0002] The current video moving object tracking methods are as follows: [0003] One is the region-based tracking method, which firstly segments out the video objects of each frame, and then establishes the corresponding relationship between the segmented objects, so as to realize the tracking of the video objects. This method has high requirements on the segmentation of video objects. Once the object segmentation is wrong in a certain frame or several frames in the video clip, the tracking of the entire video object will fail. [0004] The second is the GraphCuts method (also known as the Min-Cut / Max-Flow method), which is a classic image segmenta...

AI Technical Summary

Problems solved by technology

However, since this method cannot segment objects that occlude each other well, this method is less effective in scenes where occlusion occurs frequently

Images