We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
—This paper presents a downlink performance analysis of a Layered Random Beamforming (LRB) - MIMO-OFDMA Physical Layer (PHY) as applicable to future generation wireless communica...
Congzheng Han, Angela Doufexi, Simon Armour, Joe M...
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
—Table detection is always an important task of document analysis and recognition. In this paper, we propose a novel and effective table detection method via visual separators an...
Jing Fang, Liangcai Gao, Kun Bai, Ruiheng Qiu, Xin...
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...