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» Learning and Recognizing Human Dynamics in Video Sequences
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EVOW
2010
Springer
15 years 28 days ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner
ISCIS
2003
Springer
15 years 2 months ago
Model-Based Human Motion Capture from Monocular Video Sequences
Generating motion and capturing motion of an articulated body for computer animation is an expensive and time-consuming task. Conventionally, animators manually generate intermedia...
Jihun Park, Sangho Park, Jake K. Aggarwal
HUMO
2007
Springer
15 years 3 months ago
Recognizing Activities with Multiple Cues
In this paper, we introduce a first-order probabilistic model that combines multiple cues to classify human activities from video data accurately and robustly. Our system works in...
Rahul Biswas, Sebastian Thrun, Kikuo Fujimura
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
15 years 10 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
VLSISP
1998
161views more  VLSISP 1998»
14 years 9 months ago
Automatic Recognition of Human Walking in Monocular Image Sequences
Abstract. In numerous content-based video applications, it is important to extract from a video sequence a representation for humans in motion. This task is di cult, because humans...
Jia-Ching Cheng, José M. F. Moura