Yap-Peng Tan

TL;DR: The proposed FRUC method reduces the computation for refining motion vectors, but also suppresses the interpolation noises and misregistration errors and achieves about 3 dB on-average peak signal-to-noise ratio improvement.

TL;DR: An intelligent video surveillance system to detect human fall incidents for enhanced safety in indoor environments is presented, which extracts the aspect ratio of a person as observation feature, based on which fall incidents are detected as abrupt changes in the feature space.

TL;DR: This letter proposes a binocular JND (BJND) model based on psychophysical experiments conducted to model the basic binocular vision properties in response to asymmetric noises in a pair of stereoscopic images, and develops a BJND model that measures the perceptible distortion of binocular sight for stereoscopicImages.

TL;DR: A comprehensive survey to characterize this fast-growing area and summarize the state-of-the-art techniques for analyzing social media data is presented and existing techniques are classified into two categories: gathering information and understanding user behaviors.

TL;DR: A new supervised manifold learning algorithm, called uncorrelated discriminant simplex analysis (UDSA), is proposed for view-invariant gait signal computing, to seek a mapping to project human gait sequences collected from different views into a low-dimensional feature subspace, such that intraclass geometrical structures are preserved and interclass distances of gait sequence are maximized simultaneously.