Abstract. This paper presents an exemplar-based approach to detecting and localizing human actions, such as running, cycling, and swinging, in realistic videos with dynamic backgro...
In this paper we present a novel system for monitoring a computer user’s posture and activities in front of the computer (e.g., reading, speaking on the phone, etc.) for self-re...
— Recent development of information technology is making electric household appliances computerized and networked. If the environments surrounding us could recognize our activiti...
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...