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TIP
2008
165views more  TIP 2008»
13 years 7 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
AAAI
1997
13 years 8 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand
ICMCS
2006
IEEE
164views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Camera Motion Detection using Video Mosaicing
In this paper, camera motion detection methods using a background image generated by video mosaicing based on the correlation between feature points on a frame pair are described....
Masaki Naito, Kazunori Matsumoto, Keiichiro Hoashi...
ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
13 years 5 months ago
A framework to detect and classify activity transitions in low-power applications
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
Jeffrey Boyd, Hari Sundaram
ICASSP
2009
IEEE
14 years 2 months ago
Multi-modal activity and dominance detection in smart meeting rooms
In this paper a new approach for activity and dominance modeling in meetings is presented. For this purpose low level acoustic and visual features are extracted from audio and vid...
Benedikt Hörnler, Gerhard Rigoll