Abstract
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 language | English |
|---|---|
| Pages (from-to) | 265-267 |
| Number of pages | 3 |
| Journal | Electronics Letters |
| Volume | 50 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2014 Feb 13 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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Method to improve efficiency of human detection using scalemap. / Bae, Guntae; Kwak, Sooyeong; Byun, Hyeran; Park, Daeyong.
In: Electronics Letters, Vol. 50, No. 4, 13.02.2014, p. 265-267.Research output: Contribution to journal › Article
TY - JOUR
T1 - Method to improve efficiency of human detection using scalemap
AU - Bae, Guntae
AU - Kwak, Sooyeong
AU - Byun, Hyeran
AU - Park, Daeyong
PY - 2014/2/13
Y1 - 2014/2/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84894069093&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894069093&partnerID=8YFLogxK
U2 - 10.1049/el.2013.3588
DO - 10.1049/el.2013.3588
M3 - Article
AN - SCOPUS:84894069093
VL - 50
SP - 265
EP - 267
JO - Electronics Letters
JF - Electronics Letters
SN - 0013-5194
IS - 4
ER -