Video Surveillance for Road Traffic Monitoring

• URL: http://arxiv.org/abs/2105.04908v1
• Date: Tue, 11 May 2021 09:54:20 GMT
• Title: Video Surveillance for Road Traffic Monitoring
• Authors: Pol Albacar, \`Oscar Lorente, Eduard Mainou, Ian Riera
• Abstract summary: This paper presents the learned techniques during the Video Analysis Module of the Master in Computer Vision from the Universitat Autonoma de Barcelona. The challenge aims to track vehicles across multiple cameras placed in multiple intersections spread out over a city.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents the learned techniques during the Video Analysis Module of the Master in Computer Vision from the Universitat Aut\`onoma de Barcelona, used to solve the third track of the AI-City Challenge. This challenge aims to track vehicles across multiple cameras placed in multiple intersections spread out over a city. The methodology followed focuses first in solving multi-tracking in a single camera and then extending it to multiple cameras. The qualitative results of the implemented techniques are presented using standard metrics for video analysis such as mAP for object detection and IDF1 for tracking. The source code is publicly available at: https://github.com/mcv-m6-video/mcv-m6-2021-team4.

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