On token-matching in real time motion analysis
A token matching scheme for high-level motion analysis has been developed. The goal is real-time usage for-a constrained scenario. The demand for real-time has forced an unsophisticated method, which simply propagates certainties through normalizations.
Matching has been performed between a measured and an estimate of the same frame. The experiments has shown that the matching method is capable of handling occlusions even in the case of rather poor estimates. The problems observed for very poor estimation, are clearly due to lack of sophistication in the estimators usage of motion information. In other words we have a number of problems to attend to and solve before the weaknesses of the matching scheme will appear.
KeywordsDynamic scene analysis robot vision image sequences probabilistic relaxation Support functions
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