A new approach of visual clutter analysis for pedestrian detection

Author

Kai Yang ; Du, Eliza Y. ; Delp, Edward J. ; Pingge Jiang ; Yaobin Chen ; Sherony, Rini ; Takahashi, Hiroki

Author_Institution

Dept. of Electr. & Comput. Eng., Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN, USA

fYear

2013

fDate

6-9 Oct. 2013

Firstpage

1173

Lastpage

1178

Abstract

Detection of pedestrians during driving is a complex cognitive activity. Some of the pedestrian crashes are due to driver´s late or difficult perception of pedestrian´s appearance. Visual clutter analysis can be used to study the factors that affect human visual search efficiency. In this research, we propose a new approach of visual clutter analysis for pedestrian detection. We design two quantitative measures: the global environment clutter score to capture the complexity of the driving environment in terms of visual search; and the local pedestrian clutter score to evaluate the search efficiency of the pedestrian in the given driving environment. Our preliminary experimental results show that our proposed measures could serve as a reasonable indicator for measuring the human vision perception of pedestrian appearance in naturalistic driving environment.

Keywords

computer vision; pedestrians; traffic engineering computing; cognitive activity; global environment clutter; human vision perception; human visual search efficiency; naturalistic driving environment; pedestrian appearance; pedestrian crash; pedestrian detection; visual clutter analysis; visual search; Clutter; Entropy; Feature extraction; Image color analysis; Image edge detection; Insects; Visualization; global environment clutter score; local pedestrian clutter score; visual clutter;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on

Conference_Location

The Hague

Type

conf

DOI

10.1109/ITSC.2013.6728391

Filename

6728391