Middleton, Lee and Snowdon, James (2010) HISTOGRAM OF CONFIDENCES FOR PERSON DETECTION At ICIP 2010.


[img] PDF 2010_-_22325.pdf - Other
Download (5MB)


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

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: September 2010
Venue - Dates: ICIP 2010, 2010-09-01
Organisations: Electronics & Computer Science, IT Innovation
ePrint ID: 272325
Date :
Date Event
September 2010Submitted
Date Deposited: 24 May 2011 15:14
Last Modified: 17 Apr 2017 17:46
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/272325

Actions (login required)

View Item View Item