An Improved Particle Filter Tracking System Based on Color and Target Moving Edge

• Main Authors: CHEN, CHAO-JU, 陳昭如
• Other Authors: Tarng , Wernhuar
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/72526108639182060645

碩士 === 國立新竹教育大學 === 資訊科學研究所 === 100 === In this thesis, an improved particle filtering tracking method combining color information and moving edge of target object was proposed. The previous work of Nummiaro et al. [9] uses color model to track object can achieve tracking efficiently. However, a few cases may not be handled by such a method, e.g., target and background with similar color, occlusion, and deformation of object’s shape, and it results in poor results. To solve this problem, this study used the information of moving edge of target object to ensure the target can be well enclosed by bounding box. This can also ensure correctness of the subsequent updating of target model, and prove better performance in long term tracking. Experiment results show the proposed method can achieve the correct rate 94.57%, which is much higher than the correct rate 78.28 % achieved by Nummiaro et al. when tracking 100 target objects in indoor and outdoor video sequences. For the case of occlusion, the proposed method can obtain more than 24.22% (91.81 % - 67.59 %) correct rate than the method proposed by Nummiaro et al. This shows our method can achieve more robust tracking correctness in both general and occlusion cases.