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» Tracking in Unstructured Crowded Scenes
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CVPR
2010
IEEE
13 years 7 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
ECCV
2008
Springer
13 years 9 months ago
Robust Object Tracking by Hierarchical Association of Detection Responses
Abstract. We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low lev...
Chang Huang, Bo Wu, Ramakant Nevatia
PAMI
2008
206views more  PAMI 2008»
13 years 7 months ago
Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors
We present a novel algorithm for detection of certain types of unusual events. The algorithm is based on multiple local monitors which collect low-level statistics. Each local moni...
Amit Adam, Ehud Rivlin, Ilan Shimshoni, David Rein...
ICRA
2000
IEEE
186views Robotics» more  ICRA 2000»
13 years 11 months ago
3D Motion Tracking of a Mobile Robot in a Natural Environment
This paper presents a vision-based tracking system suitable for autonomous robot vehicle guidance. The system includes a head with three on-board CCD cameras, which can be mounted...
Parvaneh Saeedi, Peter D. Lawrence, David G. Lowe
CVPR
2012
IEEE
11 years 9 months ago
Part-based multiple-person tracking with partial occlusion handling
Single camera-based multiple-person tracking is often hindered by difficulties such as occlusion and changes in appearance. In this paper, we address such problems by proposing a...
Guang Shu, Afshin Dehghan, Omar Oreifej, Emily Han...