Clarence Cheong

Clarence Cheong

Maintenance & Testing Technician (Machine Learning) at Almex-STA, MY

Publications

Efficient Semantic-Based Vehicle Retrieval In Long-Term Car Park Videos

Published in 1st International Workshop on Big Surveillance Data Analysis and Processing, Shanghai, 2019

This paper proposes an efficient and comprehensive framework for semantic based vehicle retrieval from long-term car park videos. Colour and motion semantics are respectively retrieved using intuitive colour term and sketch-based trajectory querying.

Recommended citation: Cheong, C. W., Lim, R. W. S., See, J., Wong, L. K., & Tan, I. K. (2019, July). Efficient Semantic-Based Vehicle Retrieval in Long-term Car Park Videos. In 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) (pp. 138-143). IEEE. /files/semantic_icmew19.pdf

Vehicle Semantics Extraction and Retrieval for Long-Term Carpark Video Surveillance

Published in International Conference on Multimedia Modeling, 2018

Car park video surveillance data provides plenty of semantic rich data such as vehicle color, trajectory, speed, and type which can be tapped into and extracted for video and data analytics. We present methods for extracting and retrieving color and motion semantics from long term carpark video surveillance…

Recommended citation: Cheong, C. W., Lim, R. W. S., See, J., Wong, L. K., Tan, I. K., & Aris, A. (2018, February). Vehicle Semantics Extraction and Retrieval for Long-Term Carpark Video Surveillance. In International Conference on Multimedia Modeling (pp. 315-326). Springer, Cham. /files/vehicle_mmm18.pdf

On vehicle state tracking for long-term carpark video surveillance

Published in Signal and Image Processing Applications (ICSIPA), 2017 IEEE International Conference, 2017

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…

Recommended citation: Lim, R. W. S., Cheong, C. W., See, J., Tan, I. K., Wong, L. K., & Khor, H. Q. (2017, September). On vehicle state tracking for long-term carpark video surveillance. In Signal and Image Processing Applications (ICSIPA), 2017 IEEE International Conference on (pp. 368-373). IEEE. files/vehicle_icsipa17.pdf