Title :
Human detection in compressed domain
Author :
Ozer, I. Burak ; Wolf, Wayne
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
We propose an algorithm for human detection in JPEG compressed still images and MPEG I-frames. In this new algorithm, the overall shape of a standing or walking person is detected by using an eigenspace representation of human silhouettes obtained from AC-DCT coefficients. Our approach is invariant to changes in intensity, color and textures and has the advantage of using the available data in the standard compression algorithms. The algorithm achieves a correct detection rate of 80% for frontal and rear views of human bodies in cluttered scenes
Keywords :
data compression; discrete cosine transforms; eigenvalues and eigenfunctions; image coding; image recognition; object detection; video coding; AC-DCT coefficients; JPEG compressed still images; MPEG I-frames; eigenspace representation; human activity recognition; human detection; human silhouettes; standing person; walking person; Decoding; Discrete cosine transforms; Face detection; Humans; Image coding; Legged locomotion; Object detection; Shape; Transform coding; Video compression;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958104
