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» Detecting Irregularities in Images and in Video
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HUMO
2007
Springer
16 years 8 days ago
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition
We propose a new method for human action recognition from video sequences using latent topic models. Video sequences are represented by a novel “bag-of-words” representation, w...
Yang Wang 0003, Payam Sabzmeydani, Greg Mori
ICIP
2010
IEEE
15 years 4 months ago
Detecting pitching frames in baseball game video using Markov random walk
Pitching is the starting point of an event in baseball games. Hence, locating pitching shots is a critical step in content analysis of a baseball game video. However, pitching fra...
Chih-Yi Chiu, Po-Chih Lin, Wei-Ming Chang, Hsin-Mi...
EVENT
2001
202views more  EVENT 2001»
15 years 7 months ago
Detecting Independently Moving Objects and Their Interactions in Georeferenced Airborne Video
In airborne video, objects are tracked from a moving camera and often imaged at very low resolution. The camera movement makes it difficult to determine whether or not an object i...
J. Brian Burns
ICPR
2010
IEEE
16 years 22 days ago
Edge Based Binarization for Video Text Images
This paper introduces a binarization method based on edge for video text images, especially for images with complex background or low contrast. The binarization method first detec...
Zhiwei Zhou, Linlin Li, Chew-Lim Tan
CIVR
2004
Springer
248views Image Analysis» more  CIVR 2004»
15 years 10 months ago
Automated Person Identification in Video
Abstract. We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely cha...
Mark Everingham, Andrew Zisserman