Abstract
This paper presents a new pedestrian detection algorithm used in Advanced Driver-Assistance System with only one camera aiming to improving traffic safety. The new pedestrian detection algorithm differs from traditional pedestrian detection algorithm, which only focuses on pedestrian detection rate or pedestrian detection accuracy. Conversely, the proposed algorithm focuses on both the accuracy and the rate. Some new features are proposed to improve pedestrian detection rate of the system. Also color difference was used to decrease the false detecting rate. The experimental results show that the pedestrian detection rate can be around 90% and the false detecting rate is 3%.
Highlights
Increasing concern for pedestrian safety in the last years has resulted in the flourishing of pedestrian detection algorithms
This paper proposed a new algorithm to be used for advanced driver assistance system (ADAS) with high pedestrian detection rate and less processing time
The tests contain two parts, the first one is to use images captured in our university campus (Near East University, Cyprus) to evaluate detection rate and false positive rate
Summary
Increasing concern for pedestrian safety in the last years has resulted in the flourishing of pedestrian detection algorithms. These are essential in Advanced Driving Assistance Systems for preventing accidents involving pedestrians. A number of research work have been done in car automatic protection systems, which is referred to as advanced driver assistance system (ADAS), to reduce the probability of the accidents. F. Garcia et al [1] used a laser scanner and a far infrared camera to construct an ADAS. This paper proposed a new algorithm to be used for ADASs with high pedestrian detection rate and less processing time.
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