SURF-based compression tracing method and system

Abstract

The invention provides an SURF-based compression tracing method and an SURF-based compression tracing system. The method comprises the following steps of respectively collecting a positive sample and a negative sample of a t-th frame image, and positive samples and negative samples of the t-N-th to t-th frame images of a video file, using SURF to extract image features and a compression perception technology to obtain a first classifier and a second classifier, and weighting the first classifier and the second classifier to obtain a third classifier; using the third classifier to trace target images in the t+1 frame images of the video file. According to the target tracing method and system provided by the invention, due to the fact that the SURF extracted image features are adopted, the feature extracting speed is high, the image features can be still correctly extracted when a target environment is subjected to size change, rotation change and the like; original image features are compressed through a sparse random measurement matrix, so that the number of processed data is small, the updating speed of the classifiers is increased, and the target tracing method can be used for accurately tracing a target in a complex environment, and has real-time property and robustness.

Description

technical field [0001] The present invention relates to the technical field of computer vision, in particular to a SURF-based compression tracking method and system. Background technique [0002] Object tracking refers to dynamically locating the position of the moving object of interest in the video image sequence. The object of interest should have some significant image features, such as texture, color, shape, space and other image information. During the target tracking process, the behavior trajectory of the target of interest can be monitored, and reliable data information can be provided for further analysis of the target of interest. [0003] Object tracking is an important research direction in the field of computer vision technology, and it is often used in video security monitoring, traffic control, artificial intelligence, human-computer interaction and other fields. In military applications, it has been widely used in military reconnaissance, air target surveil...

AI Technical Summary

Problems solved by technology

Kaihua Zhang et al. proposed compressed tracking based on the theoretical knowledge of compression. The tracking of the target meets the general real-time requirements. Since the haar-like features of the image are extracted, when the target has partial occlusion, scale transformation, rotation, and illumination changes, etc. interference , easy to track failure

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