Title :
Object detection with the optimal viewpoint and visual field
Author :
Takamatsu, Ryo ; Nakai, Satoru ; Sato, Makoto ; Kawarada, Hiroshi
Author_Institution :
Precision & Intell. Lab., Tokyo Inst. of Technol., Japan
Abstract :
We investigate a mathematical model of object detection, which is one of the essential functions of a visual system. We treat the problem as the estimation problem of the position of an object from the image of an object with noise, and propose a model which controls the viewpoint and visual field so that the model can minimize the estimation error of the position given the probability distribution of the position of the objects.
Keywords :
computer vision; estimation theory; motion estimation; object detection; object recognition; probability; mathematical model; object detection; object position estimation; optimal viewpoint; probabilistic distribution; visual field; visual system; Animals; Birds; Computer vision; Estimation error; Laboratories; Mathematical model; Mice; Mobile robots; Object detection; Visual system;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.713896
