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» Motion Strategies for Surveillance
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MVA
2008
196views Computer Vision» more  MVA 2008»
13 years 8 months ago
Evaluation of an appearance-based 3D face tracker using dense 3D data
The ability to detect and track human heads and faces in video sequences can be considered as the finest level of any video surveillance system. In this paper, we introduce a gener...
Fadi Dornaika, Angel Domingo Sappa
ISVC
2010
Springer
13 years 6 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
CVPR
2012
IEEE
11 years 10 months ago
Two-person interaction detection using body-pose features and multiple instance learning
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...
ICRA
2009
IEEE
119views Robotics» more  ICRA 2009»
14 years 2 months ago
Dynamically diverse legged locomotion for rough terrain
— In this video, we demonstrate the effectiveness of a kinodynamic planning strategy that allows a high-impedance quadruped to operate across a variety of rough terrain. At one e...
Katie Byl, Russ Tedrake
PR
2008
145views more  PR 2008»
13 years 8 months ago
Gesture spotting with body-worn inertial sensors to detect user activities
We present a method for spotting sporadically occurring gestures in a continuous data stream from body-worn inertial sensors. Our method is based on a natural partitioning of cont...
Holger Junker, Oliver Amft, Paul Lukowicz, Gerhard...