Energy-transfer features for pedestrian detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089024" target="_blank" >RIV/61989100:27240/13:86089024 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-41939-3_41" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-41939-3_41</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-41939-3_41" target="_blank" >10.1007/978-3-642-41939-3_41</a>

Result language
angličtina
Original language name
Energy-transfer features for pedestrian detection
Original language description
In this paper, we propose an interesting and novel method for computing the image features that are useful for object detection. The method is interesting and novel in the terms of the feature vector dimensionality and object information capturing. In the proposed method, the areas of objects (that contain the important information useful for recognition) are described by the distribution of energy. The energy is transfered through the energy sources that are placed into the image and the distribution of energy is encoded into a vector of features. The vector is then used as an input for the SVM classifier. Using this approach, the objects of interest can be successfully described with a relatively small set of numbers if compared with the state-of-the-art descriptors that are based on the histograms of oriented gradients. We show the robustness of the features in the task of pedestrian detection.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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