Title :
Real-time object recognition based on active vision and sequential analysis
Author :
Ortmann, V. ; Eckmiller, R.
Author_Institution :
Dept. of Comput. Sci. VI, Bonn Univ., Germany
Abstract :
An image processing system for the real-time object detection and recognition was designed on the principles of active vision and sequential analysis. The real-world visual tasks can be solved due to predictive control of the vision sensor. The sequential analysis allows real-time implementation of the system on low cost DSP hardware. The system was implemented on the DSP TMS320C50 and requires 18-30 ms for the detection and recognition of the object
Keywords :
active vision; digital signal processing chips; image recognition; object detection; object recognition; real-time systems; video signal processing; DSP TMS320C50; active vision; image processing system; object detection; predictive control; real-time implementation; real-time object recognition; real-world visual tasks; sequential analysis; vision sensor; Costs; Digital signal processing; Hardware; Image processing; Image recognition; Object detection; Object recognition; Predictive control; Real time systems; Sequential analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.757553
