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ACIVS
2010
Springer

Exploiting Neighbors for Faster Scanning Window Detection in Images

13 years 1 months ago
Exploiting Neighbors for Faster Scanning Window Detection in Images
Detection of objects through scanning windows is widely used and accepted method. The detectors traditionally do not make use of information that is shared between neighboring image positions although this fact means that the traditional solutions are not optimal. Addressing this, we propose an efficient and computationally inexpensive approach how to exploit the shared information and thus increase speed of detection. The main idea is to predict responses of the classifier in neighbor windows close to the ones already evaluated and skip such positions where the prediction is confident enough. In order to predict the responses, the proposed algorithm builds a new classifier which reuses the set of image features already exploited. The results show that the proposed approach can reduce scanning time up to four times with only minor increase of error rate. On the presented examples it is shown that, it is possible to reach less than one feature computed on average per single image positi...
Pavel Zemcík, Michal Hradis, Adam Herout
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where ACIVS
Authors Pavel Zemcík, Michal Hradis, Adam Herout
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