Real-time objects tracking by using smart image sensor and FPGA

被引：0

作者：

Hamamoto, T ^{[1
]}

Nagao, S ^{[1
]}

Aizawa, K ^{[1
]}

机构：

[1] Sci Univ Tokyo, Dept Elect Engn, Tokyo 1628601, Japan

来源：

2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We have been investigating an integration of sensing and compression on an image sensor. The compression sensor reduces the number of pixels in the image signal that have to be readout from the sensor. In this paper, we present a real-time object tracking system by using the compression sensor which has 128 x 128 pixels and FPGA. By using this system, several moving objects can be extracted and tracked independently at 1200 frames / second. We also describe real-time depth estimation by using the binocular compression sensors. We show some results obtained by the system.

引用

页码：441 / 444

页数：4