TY  - JOUR
AU  - Marco Pedersoli
AU  - Jordi Gonzalez
AU  - Xu Hu
AU  - Xavier Roca
PY  - 2014//
TI  - Toward Real-Time Pedestrian Detection Based on a Deformable Template Model
T2  - TITS
JO  - IEEE Transactions on Intelligent Transportation Systems
SP  - 355
EP  - 364
VL  - 15
IS  - 1
N2  - 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.
SN  - 1524-9050
L1  - http://refbase.cvc.uab.es/files/PGH2014.pdf
UR  - http://dx.doi.org/10.1109/TITS.2013.2281207
N1  - ISE; 601.213; 600.078
ID  - Marco Pedersoli2014
ER  -