Particle Filter Target Tracking Algorithm Based on the SIFT and Color Features Fusion
2015 ◽
Vol 734
◽
pp. 476-481
Keyword(s):
Aiming at the poor robustness problem of using single feature in the target tracking process, a novel tracking algorithm based on color and SIFT features fusion in particle filter framework is presented in complex environments. Color and SIFT features are selected to establish the target model according to their stability, The scale and rotation invariance of SIFT feature and resistance occlusion property of color feature has been fused in the particle filter framework adaptively. According to the dynamic change of the tracking scene, the fusion weights is updated adaptively. Experimental results show the proposed method can track target robustly under complex scene in real-time performance.
Keyword(s):
2018 ◽
Vol 100
(2)
◽
pp. 325-334
◽
2018 ◽
Vol 30
(22)
◽
pp. e4670
◽
Keyword(s):
Keyword(s):
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