%0 Book Section
%T Video Analytics in Urban Environments: Challenges and Approaches
%A Henry Velesaca
%A Patricia Suarez
%A Dario Carpio
%A Rafael E. Rivadeneira
%A Angel Sanchez
%A Angel Morera
%B ICT Applications for Smart Cities
%D 2022
%V 224
%I Springer
%@ 978-3-031-06306-0
%F Henry Velesaca2022
%O MSIAU; MACO
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3811), last updated on Tue, 25 Apr 2023 15:41:25 +0200
%X This chapter reviews state-of-the-art approaches generally present in the pipeline of video analytics on urban scenarios. A typical pipeline is used to cluster approaches in the literature, including image preprocessing, object detection, object classification, and object tracking modules. Then, a review of recent approaches for each module is given. Additionally, applications and datasets generally used for training and evaluating the performance of these approaches are included. This chapter does not pretend to be an exhaustive review of state-of-the-art video analytics in urban environments but rather an illustration of some of the different recent contributions. The chapter concludes by presenting current trends in video analytics in the urban scenario field.
%U http://refbase.cvc.uab.es/files/VSC2022.pdf
%U http://dx.doi.org/10.1007/978-3-031-06307-7_6
%P 101-121