TY - GEN
T1 - Cross-reference detection algorithm for the real surveillance systems based-on fuzzy corresponding map
AU - Makino, Masatoshi
AU - Hatakeyama, Yutaka
AU - Hirota, Kaoru
PY - 2006
Y1 - 2006
N2 - A detection algorithm with color information for two dynamic images in a real surveillance system is proposed. It considers input region of frame as a detected region or the region behind other objects based on fuzzy corresponding map which describes common regions between input two dynamic images. Detection experimental results for the real surveillance situation show that the proposed algorithm improves 30% of accuracy compared with the independent detection algorithm. The algorithm will be installed in a basis unit for the real surveillance systems.
AB - A detection algorithm with color information for two dynamic images in a real surveillance system is proposed. It considers input region of frame as a detected region or the region behind other objects based on fuzzy corresponding map which describes common regions between input two dynamic images. Detection experimental results for the real surveillance situation show that the proposed algorithm improves 30% of accuracy compared with the independent detection algorithm. The algorithm will be installed in a basis unit for the real surveillance systems.
UR - http://www.scopus.com/inward/record.url?scp=34250739791&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2006.1681705
DO - 10.1109/FUZZY.2006.1681705
M3 - Conference contribution
AN - SCOPUS:34250739791
SN - 0780394887
SN - 9780780394889
T3 - IEEE International Conference on Fuzzy Systems
SP - 130
EP - 136
BT - 2006 IEEE International Conference on Fuzzy Systems
T2 - 2006 IEEE International Conference on Fuzzy Systems
Y2 - 16 July 2006 through 21 July 2006
ER -