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

Record type: Conference or Workshop Item (Paper)


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

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Submitted date: September 2010
Additional Information: Event Dates: September 2010
Venue - Dates: ICIP 2010, 2010-09-01
Organisations: Electronics & Computer Science, IT Innovation


Local EPrints ID: 272325
PURE UUID: d229ad74-c89d-4a93-b0b5-674cba589c7f

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Date deposited: 24 May 2011 15:14
Last modified: 18 Jul 2017 06:26

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Author: Lee Middleton
Author: James Snowdon

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