Video‐Based Parking Management
Oliver Sidla, Yuriy Lipetski · 2017
This chapter examines the state of the art in visual parking space monitoring. Available methods for occupancy detection are presented, beginning with two-dimensional (2D) methods. Vehicle detectors which are based on background modeling, feature detection, and more specific appearance-based histogram of oriented gradient (HOG) and HOG/local binary pattern (LBP) detectors are analyzed. The second part of the chapter treats 3D methods for parking space monitoring and focuses mainly on stereoscopic imaging. It includes the detailed analysis of a state-of-the-art 3D stereo system system.