Pedestrian tracking with occlusion state estimation

Akihiro Enomura, Toru Abe, Takuo Suganuma

研究成果: Conference contribution

抄録

Visual tracking of multiple pedestrians in video sequences is an important procedure for many computer vision applications. The tracking-by-detection approach is widely used for visual pedestrian tracking. This approach extracts pedestrian regions from each video frame and associates the extracted regions across frames as the same pedestrian according to the similarities of region features (e.g., position, appearance, and movement). When a pedestrian is temporarily occluded by a still obstacle in the scene, he/she disappears at one side of the obstacle in a certain frame and then reappears at the other side of it a few frames later. The occlusion state of the pedestrian, that is the space-time interval where the pedestrian is missing, varies with obstacle areas and pedestrian movements. Such an unknown occlusion state complicates the region association process for the same pedestrian and makes the pedestrian tracking difficult. To solve this difficulty and improve pedestrian tracking robustness, we propose a novel method for tracking pedestrians while estimating their occlusion states. Our method acquires obstacle areas by the pedestrian regions extracted from each frame, estimates the occlusion states from the acquired obstacle areas and pedestrian movements, and reflects the estimated occlusion states in the region association process.

本文言語English
ホスト出版物のタイトルVISAPP
編集者Giovanni Maria Farinella, Petia Radeva, Jose Braz
出版社SciTePress
ページ704-713
ページ数10
ISBN(電子版)9789897584022
出版ステータスPublished - 2020
イベント15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020 - Valletta, Malta
継続期間: 2020 2 272020 2 29

出版物シリーズ

名前VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
4

Conference

Conference15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020
CountryMalta
CityValletta
Period20/2/2720/2/29

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

フィンガープリント 「Pedestrian tracking with occlusion state estimation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル