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Virtual and Real World Adaptation for Pedestrian Detection
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By David Vazquez,Antonio M. Lopez,Javier Marin,Daniel Ponsa,David Geronimo
Issue Date:April 2014
pp. 797-809
Pedestrian detection is of paramount interest for many applications. Most promising detectors rely on discriminatively learnt classifiers, i.e., trained with annotated samples. However, the annotation step is a human intensive and subjective task worth to ...
 
Virtual worlds and active learning for human detection
Found in: Proceedings of the 13th international conference on multimodal interfaces (ICMI '11)
By Antonio M. Lopez, Daniel Ponsa, David Vazquez, Javier Marin
Issue Date:November 2011
pp. 393-400
Image based human detection is of paramount interest due to its potential applications in fields such as advanced driving assistance, surveillance and media analysis. However, even detecting non-occluded standing humans remains a challenge of intensive res...
     
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