Title :
Minimax Criterion of Similarity for Video Information Processing
Author :
Bogush, R. ; Maltsev, S.
Author_Institution :
Polotsk State Univ., Novopolotsk
Abstract :
In this paper we propose new family of functions similarity allowing with a high degree of accuracy to process a video information. These functions forms an integral similarity estimate based on sequential minimax analysis image elements. Results of experimental researches for object detection in image and image sequences are presented.
Keywords :
image sequences; minimax techniques; object detection; video signal processing; image elements; image sequences; integral similarity estimate; minimax criterion; object detection; sequential minimax analysis; video information processing; Algorithm design and analysis; Communication system control; Image analysis; Image sequences; Information processing; Measurement units; Minimax techniques; Object detection; Pattern recognition; Videoconference; Minimax similarity functions; object detection;
Conference_Titel :
Control and Communications, 2007. SIBCON '07. Siberian Conference on
Conference_Location :
Tomsk
Print_ISBN :
1-4244-0346-4
DOI :
10.1109/SIBCON.2007.371310
