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Monocular Pedestrian Detection: Survey and Experiments (2008)
| Citations: | 153 - 13 self |
BibTeX
@MISC{Enzweiler08monocularpedestrian,
author = {Markus Enzweiler and Dariu M. Gavrila},
title = { Monocular Pedestrian Detection: Survey and Experiments},
year = {2008}
}
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Abstract
Pedestrian detection is a rapidly evolving area in computer vision with key applications in intelligent vehicles, surveillance and advanced robotics. The objective of this paper is to provide an overview of the current state of the art from both methodological and experimental perspective. The first part of the paper consists of a survey. We cover the main components of a pedestrian detection system and the underlying models. The second (and larger) part of the paper contains a corresponding experimental study. We consider a diverse set of state-of-the-art systems: wavelet-based AdaBoost cascade [74], HOG/linSVM [11], NN/LRF [75] and combined shape-texture detection [23]. Experiments are performed on an extensive dataset captured on-board a vehicle driving through urban environment. The dataset includes many thousands of training samples as well as a 27 minute test sequence involving more than 20000 images with annotated pedestrian locations. We consider a generic evaluation setting and one specific to pedestrian detection on-board a vehicle. Results indicate a clear advantage of HOG/linSVM at higher image resolutions and lower processing speeds, and a superiority of the wavelet-based AdaBoost cascade approach at lower image resolutions and (near) real-time processing speeds. The dataset (8.5GB) is made public for benchmarking purposes.
Keyphrases
monocular pedestrian detection image resolution pedestrian detection clear advantage wavelet-based adaboost cascade approach many thousand extensive dataset nn lrf key application underlying model corresponding experimental study current state minute test sequence main component pedestrian detection system wavelet-based adaboost cascade first part intelligent vehicle annotated pedestrian location shape-texture detection experimental perspective generic evaluation setting diverse set real-time processing speed urban environment hog linsvm advanced robotics training sample processing speed state-of-the-art system computer vision
