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ICPR
2010
IEEE
13 years 5 months ago
Human Activity Recognition Using Local Shape Descriptors
We propose a method for human activity recognition in videos, based on shape analysis. We define local shape descriptors for interest points on the detected contour of the human a...
Sharath Venkatesha, Matthew Turk
CHI
2009
ACM
14 years 2 days ago
Tracking behavior in persuasive apps: is sensor-based detection always better than user self-reporting?
This paper aims to discuss the roles for the two types of tracking user behavior. Considering these two types of tracking, sensor based recognition has a great advantage when sens...
Miyuki Shiraishi, Yasuyuki Washio, Chihiro Takayam...
WWW
2004
ACM
14 years 6 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
IBPRIA
2005
Springer
13 years 10 months ago
Extracting Motion Features for Visual Human Activity Representation
This paper presents a technique to characterize human actions in visual surveillance scenarios in order to describe, in a qualitative way, basic human movements in general imaging ...
Filiberto Pla, Pedro Canotilho Ribeiro, José...
LOCA
2009
Springer
13 years 9 months ago
Multi Activity Recognition Based on Bodymodel-Derived Primitives
Abstract. We propose a novel model-based approach to activity recognition using high-level primitives that are derived from a human body model estimated from sensor data. Using sho...
Andreas Zinnen, Christian Wojek, Bernt Schiele