Method to improve efficiency of human detection using scalemap

Guntae Bae, Sooyeong Kwak, Hyeran Byun, Daeyong Park

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


An efficient method is introduced for detecting humans in surveillance video. The method improves the performance of multiscale human detection through the use of a scalemap, and does not require knowledge of the camera parameters or the use of additional devices. A scalemap is a map that links each position in the observed image to the optimal detection scale. The proposed method efficiently reduces the computational costs by estimating the scale of interest and the region of interest based on the scalemap, while maintaining the accuracy of the detection. It is experimentally shown through an experiment that the proposed method can improve both the accuracy and the efficiency of real-world surveillance videos.

Original languageEnglish
Pages (from-to)265-267
Number of pages3
JournalElectronics Letters
Issue number4
Publication statusPublished - 2014 Feb 13

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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