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ICIP
2005
IEEE
14 years 6 months ago
Novel likelihood estimation technique based on boosting detector
This paper presents novel likelihood estimation to be used for particle filter based object tracking. The likelihood estimation is built upon cascade object detector trained with ...
Haijing Wang, Peihua Li, Tianwen Zhang
IGARSS
2009
13 years 2 months ago
A Novel STAP Algorithm using Sparse Recovery Technique
A novel STAP algorithm based on sparse recovery technique, called CS-STAP, were presented. Instead of using conventional maximum likelihood estimation of covariance matrix, our met...
Ke Sun, Hao Zhang, Gang Li, Huadong Meng, Xiqin Wa...
PCM
2004
Springer
135views Multimedia» more  PCM 2004»
13 years 10 months ago
Probabilistic Face Tracking Using Boosted Multi-view Detector
Face tracking in realistic environments is a difficult problem due to pose variations, occlusions of objects, illumination changes and cluttered background, among others. The paper...
Peihua Li, Haijing Wang
ECCV
2004
Springer
14 years 6 months ago
Interpolating Novel Views from Image Sequences by Probabilistic Depth Carving
Abstract. We describe a novel approach to view interpolation from image sequences based on probabilistic depth carving. This builds a multivalued representation of depth for novel ...
Annie Yao, Andrew Calway
ICCV
2005
IEEE
13 years 10 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla