Dian Andriana^1,2, Ary Setijadi Prihatmanto², Egi Muhammad Idris Hidayat² and Carmadi Machbub², ¹Indonesian Institute of Sciences, Indonesia and ²Institut Teknologi Bandung, Indonesia

This paper is concerned with the development of interactive systems for smart meeting rooms. Automated recognition of video events is an important research area. We present an LTL (Linear Temporal Logic) model of basic objects and activities recognition in smart meeting rooms using object attribute details. There are still problems of misrecognizing objects in existing visual recognition methods because lack of enough feature attributive information details. This paper investigates morphological approach to increase recognition accuracy using variability in a limited area of moving object using object attribute details. The proposed methods are also compared to popular and recent methods of visual object and event recognition.

Events Recognition and Tracking, Morphological Feature Characteristics