Paper
30 November 2012 Target tracking using multiple templates based on maximum pixel count criterion
Jie Pu, Zhenming Peng, Yang Yong
Author Affiliations +
Abstract
Usually, we use a single template in traditional template matching. But single template is affected easily by geometric distortion. The distortion of some pixels would affect the whole template. For solving the problem, in this paper we divide the original template into five small templates. The small template has fewer pixels than the original template; geometric distortion just affects the relevant small template. We match the other templates with the image by a new matching method based on the improved maximum pixel count (MPC) criterion which considers not only the number of similar points but the error value. Experimental results demonstrate that the method proposed in this paper has better accuracy, precision, robust.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Pu, Zhenming Peng, and Yang Yong "Target tracking using multiple templates based on maximum pixel count criterion", Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85581F (30 November 2012); https://doi.org/10.1117/12.981859
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KEYWORDS
Distortion

Image processing

Detection and tracking algorithms

Resistance

Image compression

Automatic target recognition

Automatic tracking

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