The current developed event detection and tracking systems have several limitations that make them not suitable or efficient to be utilized in smart homes. These limitations include dealing with direction changes and varying speeds of an evolving events, node fault tolerance, energy consumption, missing of target, tracking precision, dynamicity of the target, and prediction accuracy. The situation become more difficult in term of multi-targets. Efficient tracking after the detection of an event based on robust data control and management would definitely help in making reliable distributed control decisions, therefore a reliable system is highly needed. In this paper we proposed a system for monitoring and detecting of continuous moving objects according to certain requirements and specifications that are related to smart home concept. The system can be detecting and tracking multi objects in the monitoring area that are moving randomly with varying speed by using ordinary sensors. The proposed system able to collect and analysis the data during their development in time and space. In this paper have been used a dynamic sensing model for accurate observation and delectability of the event. The simulation results of the proposed system show high detection and tracking accuracy for detection and tracking multi continues moving objects. The proposed system shows high tracking accuracy in term of single reach to 97 % and multi-targets (up to 5) reach to more than 94 %.
Wireless Sensor Network (WSNs) provides promising solutions for monitoring in several domains including industrial monitoring and control, home automation and smart cities, etc. There are numerous restrictions on the current development of target detection and tracking algorithms which makes them unsuitable or effective for indoor use. Such constraints include changes in the direction and changing target speeds, missing a target, and target dynamics. These issues come with difficulty in detection and tracking multiple targets. Moreover, the majority of the target tracking algorithms were presented on the conditions that the target is typically smooth with no unexpected changes that are difficult absolutely. Moreover, sensing coverage considers the crucial issue in a wireless sensor network. This paper implies an algorithm for detection and tracking of moving targets (intruders) for an indoor environment based on the probabilistic model utilizing WSN for safety and security. A mathematical model is presented to determine the optimum number of sensor nodes needed. The findings of the simulation showed that the MTDT algorithm provides a low missing target rate of less than 0.7 % for worst-case and can be utilized for different kinds of environment scenarios.
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