Toward Real-Time Pedestrian Detection Based on a Deformable Template Model

Most advanced driving assistance systems already include pedestrian detection systems. Unfortunately, there is still a tradeoff between precision and real time. For a reliable detection, excellent precision-recall such a tradeoff is needed to detect as many pedestrians as possible while, at the same...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2014-02, Vol.15 (1), p.355-364
Main Authors: Pedersoli, Marco, Gonzalez, Jordi, Xu Hu, Roca, Xavier
Format: Article
Language:English
Subjects:
Accuracy
Advanced driver assistance systems
Computational efficiency
Computational modeling
Deformable models
Deformation
Detectors
Driving assistance
Feature extraction
Formability
Image resolution
object detection
pattern recognition
Pedestrians
Real time
Real-time systems
Transaction processing
Vehicles
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Summary:Most advanced driving assistance systems already include pedestrian detection systems. Unfortunately, there is still a tradeoff between precision and real time. For a reliable detection, excellent precision-recall such a tradeoff is needed to detect as many pedestrians as possible while, at the same time, avoiding too many false alarms; in addition, a very fast computation is needed for fast reactions to dangerous situations. Recently, novel approaches based on deformable templates have been proposed since these show a reasonable detection performance although they are computationally too expensive for real-time performance. In this paper, we present a system for pedestrian detection based on a hierarchical multiresolution part-based model. The proposed system is able to achieve state-of-the-art detection accuracy due to the local deformations of the parts while exhibiting a speedup of more than one order of magnitude due to a fast coarse-to-fine inference technique. Moreover, our system explicitly infers the level of resolution available so that the detection of small examples is feasible with a very reduced computational cost. We conclude this contribution by presenting how a graphics processing unit-optimized implementation of our proposed system is suitable for real-time pedestrian detection in terms of both accuracy and speed.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2013.2281207