TY - GEN
T1 - Performance analysis of vehicle detection techniques
T2 - 6th World Conference on Information Systems and Technologies, WorldCIST 2018
AU - Hanif, Adnan
AU - Mansoor, Atif Bin
AU - Imran, Ali Shariq
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Attention towards Intelligent Transportation System (ITS) has increased manifold especially due to prevailing security situation in the past decade. An integral part of ITS is video-based surveillance systems extracting real-time traffic parameters such as vehicle counting, vehicle classification, vehicle velocity etc. using stationary cameras installed on road sides. In all these systems, robust and reliable detection of vehicles is significantly a critical step. Since, several vehicle detection techniques exist, evaluating these techniques with respect to different environment conditions and application scenarios will give a better choice for actual deployment. The paper presents a concise survey of vehicle detection techniques used in diverse applications of video-based surveillance systems. Moreover, three main detection algorithms; Gaussian Mixture Model (GMM), Histogram of Gradients (HoG), and Adaptive motion Histograms based vehicle detection are implemented and evaluated for performance under varying illumination, traffic density and occlusion conditions. The survey provides a ready-reference for preferred vehicle detection technique under different applications.
AB - Attention towards Intelligent Transportation System (ITS) has increased manifold especially due to prevailing security situation in the past decade. An integral part of ITS is video-based surveillance systems extracting real-time traffic parameters such as vehicle counting, vehicle classification, vehicle velocity etc. using stationary cameras installed on road sides. In all these systems, robust and reliable detection of vehicles is significantly a critical step. Since, several vehicle detection techniques exist, evaluating these techniques with respect to different environment conditions and application scenarios will give a better choice for actual deployment. The paper presents a concise survey of vehicle detection techniques used in diverse applications of video-based surveillance systems. Moreover, three main detection algorithms; Gaussian Mixture Model (GMM), Histogram of Gradients (HoG), and Adaptive motion Histograms based vehicle detection are implemented and evaluated for performance under varying illumination, traffic density and occlusion conditions. The survey provides a ready-reference for preferred vehicle detection technique under different applications.
KW - Gaussian mixture model
KW - Histogram of gradients
KW - Performance analysis
KW - Vehicle detection
UR - http://www.scopus.com/inward/record.url?scp=85045325407&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-77712-2_46
DO - 10.1007/978-3-319-77712-2_46
M3 - Conference paper
AN - SCOPUS:85045325407
SN - 9783319777115
T3 - Advances in Intelligent Systems and Computing
SP - 491
EP - 500
BT - Trends and Advances in Information Systems and Technologies
A2 - Reis, Luis Paulo
A2 - Rocha, Alvaro
A2 - Costanzo, Sandra
A2 - Adeli, Hojjat
PB - Springer
CY - Austria
Y2 - 27 March 2018 through 29 March 2018
ER -