图 书 馆
学习跟踪：通过决策进行在线多目标跟踪Learning to Track: Online Multi-Object Tracking by Decision Making |
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| 课程网址: | http://videolectures.net/iccv2015_xiang_decision_making/ |
| 主讲教师: | Yu Xiang |
| 开课单位: | 密歇根大学 |
| 开课时间: | 2016-02-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Online Multi-Object Tracking (MOT) has wide applications in time-critical video analysis scenarios, such as robot navigation and autonomous driving. In tracking-by-detection, a major challenge of online MOT is how to robustly associate noisy object detections on a new video frame with previously tracked objects. In this work, we formulate the online MOT problem as decision making in Markov Decision Processes (MDPs), where the lifetime of an object is modeled with a MDP. Learning a similarity function for data association is equivalent to learning a policy for the MDP, and the policy learning is approached in a reinforcement learning fashion which benefits from both advantages of offline learning and online-learning for data association. Moreover, our framework can naturally handle the birth/death and appearance/disappearance of targets by treating them as state transitions in the MDP while leveraging existing online single object tracking methods. We conduct experiments on the MOT Benchmark [24] to verify the effectiveness of our method. |
| 关 键 词: | 目标跟踪; 机器导航; 自动驾驶 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-07-20：chenxin01 |
| 最后编审: | 2023-07-20：chenxin01 |
| 阅读次数: | 15 |