A Generic Bio-inspired Framework for Detecting Humans Based on Saliency Detection

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 325)


Even with all its advancement in technology, computer vision system cannot competes with nature’s gift—the brains, that arranges the objects quickly and extract the necessary information from huge data. A bio-inspired feature selection method is proposed for detecting the humans using saliency detection. It is performed by tuning prominent features such as color, orientation, and intensity in bottom-up approach to locate the probable candidate regions of humans in an image. Further, the results improved in detection phase that makes use of weights learned from training samples to ignore non-human regions in the candidate regions. The overall system has an accuracy rate of 90 % for detecting the human region.


Skin color segmentation Computational modeling Human detection algorithm 


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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Amrita Vishwa VidyapeethamCoimbatoreIndia
  2. 2.Amrita Vishwa VidyapeethamBengaluruIndia
  3. 3.Department of Information TechnologyAmrita Vishwa VidyapeethamCoimbatoreIndia

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