This paper presents an experimental evaluation of real-time pedestrian detection algorithms
and their tuning using the proposed universal performance index. With this index, the …

This paper presents a modified multi-branch classifier of pedestrians from far infrared (FIR)
night and day images. The solution is accurate, fast, and especially best suited for all …

Pedestrian detection is one of the key technologies in computer vision, and plays an
important role in surveillance and automatic driving. Compared with visible cameras …

This paper presents a robust real-time pedestrian detection approach from infrared (IR)
videos using binary pattern features. A novel pyramid binary pattern (PBP) feature is first …

Recent work in monocular pedestrian detection is trying to improve the execution time while
keeping the accuracy as high as possible. A popular and successful approach for monocular …

Despite all the significant advances in pedestrian detection brought by computer vision for
driving assistance, it is still a challenging problem. One reason is the extremely varying …

Far infrared (FIR) pedestrian detection is an essential module of advanced driver assistance
systems (ADAS) at nighttime. Although recent deep learning-based detectors have achieved …

Pedestrian detection is an important task in many intelligent systems, particularly driver
assistance systems. Recent studies on pedestrian detection in infrared (IR) imagery have …

This paper presents a pedestrian detection system with enhanced object segmentation
procedure working on a far infrared (FIR) video. To make the object detection more accurate …

In this paper, a new approach of learning features based on convolutional neural networks
for pedestrian detection in far infrared images is presented. Unlike traditional recognition …