Feature reduction and hierarchy of classifiers for fast object detection in video images

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2001, Pages

  Heisele, Bernd ^a   Serre, Thomas ^a   Mukherjee, Sayan ^a   Poggio, Tomaso ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FEATURE EXTRACTION; HIERARCHICAL SYSTEMS; IMAGE ANALYSIS; LEARNING SYSTEMS; STATISTICAL METHODS; VIDEO SIGNAL PROCESSING;

SUPPORT VECTOR MACHINES (SVM); VIDEO IMAGES;

OBJECT RECOGNITION;

EID: 0035684727     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Selection of relevant features and examples in machine learning
2. Smart sensing within a pyramid vision machine
3. A model of saliency-based visual attention for rapid scene analysis
4. Wrappers for feature subset selection
5. Pedestrian detection using wavelet templates
6. Computationally efficient face detection
7. Coarse-fine template matching
8. Rotation invariant neural network-based face detection
9. Robust real-time face detection
10. Feature selection for support vector machines