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检测与追踪被遮蔽的人们

Detection and Tracking of Occluded People
课程网址: http://videolectures.net/bmvc2012_tang_occluded_people/  
主讲教师: Siyu Tang
开课单位: 马克斯普朗克研究所
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
我们考虑在拥挤的街道场景中多人的检测和跟踪问题。在人相对较少的场景中,最先进的方法表现得很好,但受到许多主体部分遮挡的场景的严重挑战。这一限制是由于当前人员探测器在人员被强烈遮挡时失效。我们观察到,典型的闭塞是由于人与人之间的重叠,并提出一种适合不同闭塞水平的人探测器。我们利用这样一个事实,即人/人的闭塞会导致非常独特的外观模式,这有助于提高检测结果,而不是将部分闭塞视为干扰。我们在一组受控制但严重闭塞程度的人的新数据集上以及在两个具有挑战性的公开可用基准上演示了我们的闭塞感知人检测器的性能,在每种情况下都优于单人检测器。
课程简介: We consider the problem of detection and tracking of multiple people in crowded street scenes. State-of-the-art methods perform well in scenes with relatively few people, but are severely challenged by scenes with many subjects that partially occlude each other. This limitation is due to the fact that current people detectors fail when persons are strongly occluded. We observe that typical occlusions are due to overlaps between people and propose a people detector tailored to various occlusion levels. Instead of treating partial occlusions as distractions, we leverage the fact that person/person occlusions result in very characteristic appearance patterns that can help to improve detection results. We demonstrate the performance of our occlusion-aware person detector on a new dataset of people with controlled but severe levels of occlusion and on two challenging publicly available benchmarks outperforming single person detectors in each case.
关 键 词: 追踪; 检测器; 检测干扰
课程来源: 视频讲座网
最后编审: 2019-12-10:cwx
阅读次数: 41