Off-The-Shelf Based System for Urban Environment Video Analytics

Velesaca, Henry O.; Araujo, Steven; Suárez, Patricia L.; Sánchez, Ángel Mediavilla; Sappa, Ángel D.

doi:10.1109/iwssip48289.2020.9145121

Cited by 5 publications

(1 citation statement)

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“…SORT compares the positions of objects detected in the current frame with guesses for the positions of objects detected in previous frames. On the other hand, Velesaca et al [Velesaca et al 2020] considers the use of SORT to generate general statistics of the different objects in urban environments.…”

Section: Trackingmentioning

confidence: 99%

Review on Common Techniques for Urban Environment Video Analytics

Velesaca

Suárez

Sappa

et al. 2022

Anais Do III Workshop Brasileiro De Cidades Inteligentes (WBCI 2022)

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This work compiles the different computer vision-based approaches from the state-of-the-art intended for video analytics in urban environments. The manuscript groups the different approaches according to the typical modules present in video analysis, including image preprocessing, object detection, classification, and tracking. This proposed pipeline serves as a basic guide to representing these most representative approaches in this topic of video analysis that will be addressed in this work. Furthermore, the manuscript is not intended to be an exhaustive review of the most advanced approaches, but only a list of common techniques proposed to address recurring problems in this field.

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Section: Trackingmentioning

confidence: 99%