TY  - CHAP
AU  - Henry Velesaca
AU  - Patricia Suarez
AU  - Dario Carpio
AU  - Rafael E. Rivadeneira
AU  - Angel Sanchez
AU  - Angel Morera
PY  - 2022//
TI  - Video Analytics in Urban Environments: Challenges and Approaches
T2  - ISRL
BT  - ICT Applications for Smart Cities
SP  - 101
EP  - 121
VL  - 224
PB  - Springer
N2  - 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.
SN  - 978-3-031-06306-0
L1  - http://refbase.cvc.uab.es/files/VSC2022.pdf
UR  - http://dx.doi.org/10.1007/978-3-031-06307-7_6
N1  - MSIAU; MACO
ID  - Henry Velesaca2022
ER  -