A new video surveillance system employing occluded face detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3533 LNAI, Issue , 2005, Pages 65-68

  Kim, Jaywoo ^a   Sung, Younghun ^a   Yoon, Sang Min ^a   Park, Bo Gun ^b  

^a Samsung Advanced Institute of Technology (SAIT)   (South Korea)

^b Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TELLER MACHINES; CAMERAS; COMPUTER SCIENCE; HUMAN ENGINEERING; LEARNING SYSTEMS; SURVEYING;

OCCLUDED FACE; SUPPORT VECTOR MACHINE (SVM); VIDEO SURVEILLANCE SYSTEM;

FACE RECOGNITION;

EID: 26944480750     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11504894_10     Document Type: Conference Paper

References (5)

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2. Davis, L. S.: A Survey of Edge Detection Techniques. Computer Graphics and Image Processing, Vol. 4 (1975) 248-270
3. Frei, W., Chen, C. C.: Fast Boundary Detection: a Generalization and a New Algorithm. IEEE Trans. Computer, Vol. 26, No. 2 (1977)
4. Yoon, S. M., Kee, S. C.: Detection of Partially Occluded Face using Support Vector Machines. MVA (2002) 546-549
5. Martinez, A. M.: Recognition of Partially Occluded and/or Imprecisely Localized Faces using a Probabilistic Approach. CVPR, Vol. 1 (2000) 712-717