Sciweavers

Share
ICIP
2010
IEEE

Histogram of confidences for person detection

11 years 11 months ago
Histogram of confidences for person detection
This paper focuses on the problem of person detection in harsh industrial environments. Different image regions often have different requirements for the person to be detected. Additionally, as the environment can change on a frame to frame basis even previously detected people can fail to be found. In our work we adapt a previously trained classifier to improve its performance in the industrial environment. The classifier output is initially used an image descriptor. Structure from the descriptor history is learned using semi-supervised learning to boost overall performance. In comparison with two state of the art person detectors we see gains of 10%. Our approach is generally applicable to pretrained classifiers which can then be specialised for a specific scene.
Lee Middleton, James R. Snowdon
Added 03 Mar 2011
Updated 03 Mar 2011
Type Journal
Year 2010
Where ICIP
Authors Lee Middleton, James R. Snowdon
Comments (0)
books