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» Multimodal People Detection and Tracking in Crowded Scenes
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ICPR
2008
IEEE
13 years 11 months ago
Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection
This paper proposes a novel method to address the problem of estimating the number of people in surveillance scenes with people gathering and waiting. The proposed method combines...
Min Li, Zhaoxiang Zhang, Kaiqi Huang, Tieniu Tan
CVPR
2008
IEEE
14 years 7 months ago
Homography based multiple camera detection and tracking of people in a dense crowd
Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In this paper ...
Ran Eshel, Yael Moses
CVIU
2007
174views more  CVIU 2007»
13 years 5 months ago
Laser-based detection and tracking of multiple people in crowds
Laser-based people tracking systems have been developed for mobile robotic, and intelligent surveillance areas. Existing systems rely on laser point clustering method to extract o...
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shi...
CVPR
2008
IEEE
14 years 7 months ago
People-tracking-by-detection and people-detection-by-tracking
Both detection and tracking people are challenging problems, especially in complex real world scenes that commonly involve multiple people, complicated occlusions, and cluttered o...
Mykhaylo Andriluka, Stefan Roth, Bernt Schiele
CVPR
2010
IEEE
14 years 1 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino