no code implementations • 24 Sep 2017 • Xin Jie Tang, Yong Haur Tay, Nordahlia Abdullah Siam, Seng Choon Lim
This is sufficient to serve as a frontline identification to fight against illegal wood logging and timber trade for law enforcement authority.
no code implementations • 23 Jan 2017 • Eu Koon Cheang, Teik Koon Cheang, Yong Haur Tay
In this paper we propose a supervised learning system for counting and localizing palm trees in high-resolution, panchromatic satellite imagery (40cm/pixel to 1. 5m/pixel).
no code implementations • 23 Jan 2017 • Teik Koon Cheang, Yong Shean Chong, Yong Haur Tay
This has the added benefit of being able to perform end-to-end training of the entire model on labelled, full license plate images.
5 code implementations • 6 Jan 2017 • Yong Shean Chong, Yong Haur Tay
We present an efficient method for detecting anomalies in videos.
Ranked #4 on Abnormal Event Detection In Video on UBI-Fights
no code implementations • 4 May 2015 • Yong Shean Chong, Yong Haur Tay
This review article surveys the current progresses made toward video-based anomaly detection.
no code implementations • 27 Apr 2015 • Hooi Sin Ng, Yong Haur Tay, Kim Meng Liang, Hamam Mokayed, Hock Woon Hon
Automated car license plate recognition systems are developed and applied for purpose of facilitating the surveillance, law enforcement, access control and intelligent transportation monitoring with least human intervention.
no code implementations • 10 Feb 2015 • Kean Hong Lau, Yong Haur Tay, Fook Loong Lo
Our system's performance has improved over the existing architecture and reached 79. 0% on the challenging Caltech-101 [7] dataset, which is state-of-the-art for ANNs (without transfer learning).