80 citations · 211 across the 11 of their papers we have counts for
11 papers
Rapid and Robust Automated Macroscopic Wood Identification System using Smartphone with Macro-lens
Xin Jie Tang, Yong Haur Tay, Nordahlia Abdullah Siam +1
Wood Identification has never been more important to serve the purpose of global forest species protection and timber regulation. Macroscopic level wood identification practiced by…
Using Convolutional Neural Networks to Count Palm Trees in Satellite Images
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). A convol…
Segmentation-free Vehicle License Plate Recognition using ConvNet-RNN
Teik Koon Cheang, Yong Shean Chong, Yong Haur Tay
While vehicle license plate recognition (VLPR) is usually done with a sliding window approach, it can have limited performance on datasets with characters that are of variable widt…
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
Yong Shean Chong, Yong Haur Tay
We present an efficient method for detecting anomalies in videos. Recent applications of convolutional neural networks have shown promises of convolutional layers for object detect…
Modeling Representation of Videos for Anomaly Detection using Deep Learning: A Review
Yong Shean Chong, Yong Haur Tay
This review article surveys the current progresses made toward video-based anomaly detection. We address the most fundamental aspect for video anomaly detection, that is, video fea…
Detection and Recognition of Malaysian Special License Plate Based On SIFT Features
Hooi Sin Ng, Yong Haur Tay, Kim Meng Liang +2
Automated car license plate recognition systems are developed and applied for purpose of facilitating the surveillance, law enforcement, access control and intelligent transportati…
A HMAX with LLC for visual recognition
Kean Hong Lau, Yong Haur Tay, Fook Loong Lo
Today's high performance deep artificial neural networks (ANNs) rely heavily on parameter optimization, which is sequential in nature and even with a powerful GPU, would have taken…
On the Adaptability of Neural Network Image Super-Resolution
Kah Keong Chua, Yong Haur Tay
In this paper, we described and developed a framework for Multilayer Perceptron (MLP) to work on low level image processing, where MLP will be used to perform image super-resolutio…
Visual Objects Classification with Sliding Spatial Pyramid Matching
Hao Wooi Lim, Yong Haur Tay
We present a method for visual object classification using only a single feature, transformed color SIFT with a variant of Spatial Pyramid Matching (SPM) that we called Sliding Spa…
Image-based Vehicle Classification System
Jun Yee Ng, Yong Haur Tay
Electronic toll collection (ETC) system has been a common trend used for toll collection on toll road nowadays. The implementation of electronic toll collection allows vehicles to…
Vision-based Human Gender Recognition: A Survey
Choon Boon Ng, Yong Haur Tay, Bok Min Goi
Gender is an important demographic attribute of people. This paper provides a survey of human gender recognition in computer vision. A review of approaches exploiting information f…