Part Based Recognition of Pedestrians Using Multiple Features and Random Forests

Part Based Recognition of Pedestrians Using Multiple Features and Random Forests

This paper explores a discriminative part-based approach for recognising people in video. It uses many regions to model the background and foreground and a random forest for classification. The objective is to overcome the limitations of more holistic approaches that try to recognise people as a sin...

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Bibliographic Details
Main Authors: John, Gladis, West, Geoffrey, Lazarescu, Mihai
Other Authors: J Zhang
Format: Conference Paper
Published: CPS (Conference Publishing Services) 2010
Subjects:
recognition
part-based
segmentation
region growing
random forest
evaluation
Online Access:http://hdl.handle.net/20.500.11937/29268

Internet

http://hdl.handle.net/20.500.11937/29268

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