Abstract
Interpretation of human activity is primarily known from surveillance and video analysis tasks and concerned with the persons alone. In this paper we present an integrated system that gives a natural language interpretation of activities where a person handles objects. The system integrates low-level image components such as hand and object tracking, detection and recognition, with high-level processes such as spatio-temporal object relationship generation, posture and gesture recognition, and activity reasoning. A task-oriented approach focuses processing to achieve near real-time and to react depending on the situation context.
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