Paper
17 November 2008 Tracking method to random walk model based on orientation code matching
Author Affiliations +
Proceedings Volume 7266, Optomechatronic Technologies 2008; 72660K (2008) https://doi.org/10.1117/12.807230
Event: International Symposium on Optomechatronic Technologies, 2008, San Diego, California, United States
Abstract
Image processing method that detects a particular moving object from an image by a fixed camera and tracking is noticed in various fields and it is a very important subject. In this paper, we propose a moving object tracking method that can cope with change of the area accompany the random walk movement of the moving object oneself and change of the brightness arise from change of the environmental such as a masking or change of the illumination. Proposal method can be robust processing for change of the illumination based on Orientation Code Matching that is demonstrated that is robust for the masking or change of the illumination. And, using Motion Vector derived from a continuity of the random walk model motion, under the condition that there are similar walk models, it can discriminate the walk model and individually tracking. Through the some experiment, this paper inspects the effectiveness of our proposed method.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kazuhiro Kagoike, Satoru Takahashi, Hidenori Takauji, and Shun'ichi Kaneko "Tracking method to random walk model based on orientation code matching", Proc. SPIE 7266, Optomechatronic Technologies 2008, 72660K (17 November 2008); https://doi.org/10.1117/12.807230
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Cited by 6 scholarly publications.
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KEYWORDS
Motion models

Image compression

Image processing

Cameras

Inspection

Quantization

Detection and tracking algorithms

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