【摘 要】
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In order to improve the accuracy and robustness of targets tracking and positioning,this paper proposes a particle filter algorithm based on multi-feature fusion.According to the diversity of characte
【机 构】
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Digital Navigation Center, Beihang University, Beijing, China
论文部分内容阅读
In order to improve the accuracy and robustness of targets tracking and positioning,this paper proposes a particle filter algorithm based on multi-feature fusion.According to the diversity of character information,a multi-feature fusion strategy based on color,texture and edge character has been developed,which can realize the comprehensive utilization of various visual features information.A feature criterion function has been addressed to the weighted strategy of multi-feature fusion,which can adjust adaptively the weight of feature and enhance the reliability of target tracking.Combined with binocular stereo vision technology,this algo-rithm can locate the target by calculating the geometrical relationship between the correspondence pixel points and spatial points.The test results show that the algo-rithm can realize the target tracking and positioning more accurately.
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