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» Pedestrian Detection: A Benchmark
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ICCV
2009
IEEE
16 years 4 months ago
Max-Margin Additive Classifiers for Detection
We present methods for training high quality object detectors very quickly. The core contribution is a pair of fast training algorithms for piece-wise linear classifiers, which ...
Subhransu Maji, Alexander C. Berg
CVPR
2007
IEEE
16 years 1 months ago
Euclidean Path Modeling from Ground and Aerial Views
Weaddress the issue ofEuclideanpath mu& ling ina single camerafor activity monitoring in a multi-camera video surveillance system m e paperpmposes a novel linear solufwnro aut...
Imran N. Junejo, Hassan Foroosh
IROS
2009
IEEE
261views Robotics» more  IROS 2009»
15 years 6 months ago
Probabilistic motion planning among moving obstacles following typical motion patterns
— The paper presents a navigation algorithm for dynamic, uncertain environment. The static environment is unknown, while moving pedestrians are detected and tracked on-line. Pede...
Chiara Fulgenzi, Anne Spalanzani, Christian Laugie...
ICCV
2009
IEEE
1363views Computer Vision» more  ICCV 2009»
16 years 4 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...
ICCV
2007
IEEE
16 years 1 months ago
Trajectory Rectification and Path Modeling for Video Surveillance
Path modeling for video surveillance is an active area of research. We address the issue of Euclidean path modeling in a single camera for activity monitoring in a multicamera vid...
Imran N. Junejo, Hassan Foroosh