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» Multimodal People Detection and Tracking in Crowded Scenes
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ICMI
2005
Springer
201views Biometrics» more  ICMI 2005»
15 years 2 months ago
A joint particle filter for audio-visual speaker tracking
In this paper, we present a novel approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a jo...
Kai Nickel, Tobias Gehrig, Rainer Stiefelhagen, Jo...
WACV
2005
IEEE
15 years 3 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
CLEAR
2007
Springer
195views Biometrics» more  CLEAR 2007»
15 years 3 months ago
Multi-level Particle Filter Fusion of Features and Cues for Audio-Visual Person Tracking
In this paper, two multimodal systems for the tracking of multiple users in smart environments are presented. The first is a multiview particle filter tracker using foreground, c...
Keni Bernardin, Tobias Gehrig, Rainer Stiefelhagen
MM
2005
ACM
188views Multimedia» more  MM 2005»
15 years 3 months ago
Detecting group activities using rigidity of formation
Most work in human activity recognition is limited to relatively simple behaviors like sitting down, standing up or other dramatic posture changes. Very little has been achieved i...
Saad M. Khan, Mubarak Shah
ICCV
2009
IEEE
1363views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Human Detection Using Partial Least Squares Analysis
Significant research has been devoted to detecting people in images and videos. In this paper we describe a human detection method that augments widely used edge-based features ...
William Robson Schwartz, Aniruddha Kembhavi, David...