When solving machine learning problems, there is currently little automated support for easily experimenting with alternative statistical models or solution strategies. This is be...
Sooraj Bhat, Ashish Agarwal, Alexander Gray, Richa...
The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveilla...
Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, ...
In this paper we propose a novel wearable interface called “ActiveBelt” that enables users to obtain multiple directional information with the tactile sense. Since the informat...
In this paper we show that financial information can be used to sense many aspects of human activity. This simple technique gives people information about their daily lives, is ea...
Julia Schwarz, Jennifer Mankoff, H. Scott Matthews
This paper presents an new framework for homographybased analysis of pedestrian-vehicle activity in crowded scenes. Planar homography constraint is exploited to extract view-invar...