Open AccessReview of pedestrian detection techniques in automotive far‐infrared video
Author(s) -
Hurney Patrick,
Waldron Peter,
Morgan Fearghal,
Jones Edward,
Glavin Martin
Publication year - 2015
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2014.0236
Subject(s) - pedestrian detection , pedestrian , automotive industry , computer science , computer vision , artificial intelligence , automotive engineering , engineering , transport engineering , aerospace engineering
The use of advanced driver assistance systems is becoming increasingly common in road‐going vehicles. One application of these driver assistance systems is in the automated detection of vulnerable road users, such as pedestrians, using automotive far‐infrared imagery. Detection of pedestrians in infrared imagery can be quite difficult because of a number of factors such as the environment, pedestrian behaviour and also the physical limitations of currently available infrared sensors. This study presents a comprehensive review of the literature currently available in the area of pedestrian detection techniques in automotive infrared imagery. The challenges associated with automated detection of pedestrians in the automotive domain are first discussed. An overview of the general structure of pedestrian detection algorithms is then presented, followed by an in‐depth analysis of existing literature in the area. Some proposals for future research in the area based on the methods described in this study are then offered.