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TCSV
2008
313views more  TCSV 2008»
13 years 6 months ago
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features
Efficiently and accurately detecting pedestrians plays a very important role in many computer vision applications such as video surveillance and smart cars. In order to find the ri...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
14 years 1 months ago
Where is your dive buddy: tracking humans underwater using spatio-temporal features
— We present an algorithm for underwater robots to track mobile targets, and specifically human divers, by detecting periodic motion. Periodic motion is typically associated wit...
Junaed Sattar, Gregory Dudek
ICPR
2008
IEEE
14 years 1 months ago
Contour grouping with shape manifold and distance transform
Object detection in clutter or occlusion is a hard problem in computer vision. We propose an object detection method based on contour grouping. Two stages are included: a novel di...
Zou Qi, Luo Siwei, Huang Yaping, Li Yan
BMCBI
2008
130views more  BMCBI 2008»
13 years 6 months ago
An enhanced partial order curve comparison algorithm and its application to analyzing protein folding trajectories
Background: Understanding how proteins fold is essential to our quest in discovering how life works at the molecular level. Current computation power enables researchers to produc...
Hong Sun, Hakan Ferhatosmanoglu, Motonori Ota, Yus...
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 8 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...