Depth-Aided Tracking Multiple Objects under Occlusion

• 作者: Anh Tu Tran Koichi Harada
• 来源期刊: 信号与信息处理(英文)
• 学科: 医学
• 关键词: Visual TRACKING MULTIPLE Object TRACKING STEREO TRACKING OCCLUSION Analysis
• 年，卷（期）: 2013,（3）
• 页码范围: 299-307
• 页数: 9页
• 分类号: R73

摘要

In this paper, we have presented a novel tracking method aiming at detecting objects and maintaining their la-bel/identification over the time. The key factors of this method are to use depth information and different strategies to track objects under various occlusion scenarios. The foreground objects are detected and refined by background subtraction and shadow cancellation. The occlusion detection is based on information of foreground blobs in successive frames. The occlusion regions are projected to the projection plane XZ to analysis occlusion situation. According to the occlusion analysis results, different objects’ corresponding strategies are introduced to track objects under various occlusion scenarios including tracking occluded objects in similar depth layer and in different depth layers. The experimental results show that our proposed method can track the moving objects under the most typical and challenging occlusion scenarios.