Modelling pedestrian shapes for outlier detection: A neural net based approach

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2003, Pages 428-433

  Nanda, Harsh ^a   Benabdelkedar, Chiraz ^a   Davis, Larry ^a  

^a Department of Computer Science University of Maryland ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPLEX NETWORKS;

CAMERA ORIENTATION; CARRYING OBJECTS; COMPLEX SHAPES; EXAMPLE-BASED; NEURAL NET; OUTLIER DETECTION; SINGLE CAMERAS; TWO-LAYER;

STATISTICS;

EID: 84908233031     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2003.1212949     Document Type: Conference Paper

References (7)

1. l] Tom Mitchell. Machine Learning. McGraw Hill, 1997.
2. C. BenAbdelkader L. Davis. Detection of Loadcarrying People for Gait and Activity Recognition. FGR02.
3. L. Zhm C. Thorpe. S t e r e and Neural Network-Based Pedestrian Detection. Proc. ITSC'99.
4. M. Oren C. Papageorgiou P. Sinha E. Osuna T. Poggio. Pedestrian Detection Using Wavelet Templates. CVPR'97.
5. I. Haritaoglu R. Cutler D. Harwood L. Davis. Backpack: Detection of People Carrying Objects using Silhouttes. ICCV'99.
6. R. Cutler and L. Davis. Robust Real-time Pe riodic Motion Detection Analysis and Applications. PAMI Vol 13(2), 2000.
7. ' A. Elgammal D. Harwood L. Davis. Nonparametric model for background subtraction. ECCV'OO.