DocumentCode :
3168900
Title :
Directing attention for traffic scene analysis
Author :
Stewart, B.D. ; Reading, I. A D ; Thomson, M.S. ; Wan, C.L. ; Binnie, T.D.
Author_Institution :
Napier Univ.,, UK
fYear :
1995
fDate :
4-6 Jul 1995
Firstpage :
801
Lastpage :
805
Abstract :
Computer vision systems which must operate in real-time face one overriding problem before high-level recognition and analysis processes can be applied. Real-time image capture at any useful image resolution and frame-rate yields prodigious quantities of data. Image resolutions of 512×512 pixels or higher at 8 bits per pixel are commonly used for analysis and a frame rate possibly exceeding 25 fps is desirable for real-time applications. This results in data rates in excess of 6.4 Mbytes/sec. Data rates of this level challenge the most expensive processors while relatively inexpensive processors have no chance of coping. Parallel processor implementations of low-level image processing tasks is one approach to the problem, however complete parallelism is not possible because it requires too many processors and connections. Hence the need to reduce the quantity of data requiring analysis becomes a priority in any low-cost vision system. A method of achieving this is to extract the regions of interest in the scene, as these usually constitute a considerably lesser proportion of the whole image. The interest of a region is of course a problem specific measure. This paper therefore presents a problem independent approach to directing the attention of a vision system to those regions in the scene which are likely to be of interest. The regions of non-interest can then be discarded thereby drastically reducing the volume of data for further analysis
Keywords :
computer vision; image recognition; image resolution; road traffic; 6.4 Mbyte/s; attention direction; computer vision systems; data analysis; data rates; frame rate; image analysis; image recognition; image resolution; low-cost vision system; low-level image processing; parallel processors; problem independent approach; real-time applications; real-time image capture; regions of interest; traffic scene analysis;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-642-3
Type :
conf
DOI :
10.1049/cp:19950770
Filename :
465637
Link To Document :
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