Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings
International Conference on Computer and Electrical Engineering 4th (ICCEE 2011)
By
Jianhong Zhou
Jianhong Zhou
Search for other works by this author on:
ISBN:
9780791859841
No. of Pages:
698
Publisher:
ASME Press
Publication date:
2011

Nowadays the research on Road Safety is receiving more and more attention, and the pedestrian detection is the significant part of such research. Our study focus on the feature of pedestrian's legs because they have an obvious difference from the background when people walking across the road. In paper, we present a novel idea that contributes to low-false alarms and high detection rate. First, we detect the pedestrian based on Haar cascade classifier which is trained by the leg samples. Second, we verify the pedestrian through the HOG descriptors. The results from experiments show our method gets a detection rate of about 87% with few false alarms.

Abstract
Key Words
1 Introduction
2. Related Work
3. Overall Approach
4. Experiment Result
5. Summaries
References
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal