Weakly Interacting Object Tracking In Indoor Environments

• Main Authors: Kao-Wei Wan, 萬高維
• Other Authors: Chieh-ChihWang
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/89137911827122810858

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 96 === Interactions between targets have been exploited to solve the occlusion problem in multitarget tracking, but most of the existing approaches treat interactions in measurement level and do not take advantage of higher level information from the interactions. As indoor environments are relatively unconstrained than urban areas due to the lack of traffic laws, interactions in indoor environments are weaker and have more variants than in outdoor environments. Weak interactions make scene interaction modeling and neighboring object interaction modeling more challenging. In this thesis, a place-driven scene interaction model is proposed to represent long-term interactions between moving objects and the scene in indoor environments. To deal with complicated short-term interactions among moving objects, the neighboring object interaction model consisting of three short-term interaction models, following, approaching and avoidance is proposed. The moving model, the stationary process model and these two interaction models are integrated to accomplish weakly interacting object tracking in indoor environments. In addition, higher level scene understanding such as unusual activity recognition and important place identification is accomplished straightforwardly. The experimental results using data from a laser scanner demonstrate the feasibility and robustness of the proposed approaches.