Pre-attention cues for person detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F11%3A%230002027" target="_blank" >RIV/46747885:24220/11:#0002027 - isvavai.cz</a>
Result on the web
<a href="http://www.scopus.com" target="_blank" >http://www.scopus.com</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-34584-5_19" target="_blank" >10.1007/978-3-642-34584-5_19</a>

Result language
angličtina
Original language name
Pre-attention cues for person detection
Original language description
Current state-of-the-art person detectors have been proven reliable and achieve very good detection rates. However, the performance is often far from real time, which limits their use to low resolution images only. In this paper, we deal with candidate window generation problem for person detection, i.e. we want to reduce the computational complexity of a person detector by reducing the number of regions that has to be evaluated. We base our work on Alexe's paper [1], which introduced several pre-attention cues for generic object detection. We evaluate these cues in the context of person detection and show that their performance degrades rapidly for scenes containing multiple objects of interest such as pictures from urban environment. We extend this set by new cues, which better suits our class-specific task. The cues are designed to be simple and efficient, so that they can be used in the pre-attention phase of a more complex sliding window based person detector.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2011 international conference on Cognitive Behavioural Systems (COST'11)
ISBN
978-3-642-34583-8
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
225-235
Publisher name
Springer-Verlag
Place of publication
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Event location
Dresden; Germany
Event date
Feb 21, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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