On vehicle state tracking for long-Term carpark video surveillance

Ryan Woei-Sheng Lim, Clarence Weihan Cheong, John See, Ian K. T. Tan, Lai-Kuan Wong, Huai-Qian Khor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Car park video surveillance systems present a huge volume of data that can be beneficial for video analytics and data analysis. We present a vehicle state tracking method for long term video surveillance with the goal of obtaining trajectories and vehicle states of various car park users. However, this is a challenging task in outdoor scenarios due to non-optimal camera viewing angle compounded by ever-changing illumination & weather conditions. To address these challenges, we propose a parking state machine that tracks the vehicle state in a large outdoor car park area. The proposed method was tested on 10 hours of continuous video data with various illumination and environmental conditions. Owing to the imbalanced distribution of parking states, we report the precision, recall and F1 scores to determine the overall performance of the system. Our approach proves to be fairly accurate, fast and robust against severe scene variations.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)
PublisherIEEE
Pages368-373
Number of pages6
ISBN (Electronic)9781509055593
DOIs
Publication statusPublished - 1 Dec 2017
Event5th IEEE International Conference on Signal and Image Processing Applications 2017 - Kuching, Sarawak, Malaysia
Duration: 12 Sep 201714 Sep 2017

Conference

Conference5th IEEE International Conference on Signal and Image Processing Applications 2017
Abbreviated titleICSIPA 2017
Country/TerritoryMalaysia
CityKuching, Sarawak
Period12/09/1714/09/17

Keywords

  • Car park analytics
  • Long term
  • Vehicle state tracking
  • Video surveillance

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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