Abstract:
We present a scene adaptation algorithm for object detection. Our method discovers scene-dependent features discriminative to classifying foreground objects into differen...Show MoreMetadata
Abstract:
We present a scene adaptation algorithm for object detection. Our method discovers scene-dependent features discriminative to classifying foreground objects into different categories. Unlike previous works suffering from insufficient training data collected online, our approach incorporated with a similarity grouping procedure can automatically gather more consistent training examples from a neighbour area. Experimental results show that the proposed method outperforms several related works with higher detection accuracies.
Published in: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date of Conference: 19-24 April 2015
Date Added to IEEE Xplore: 06 August 2015
Electronic ISBN:978-1-4673-6997-8