عنوان مقاله :
Combining Sequential and Parallel Tracking Strategies in Motion Mining: New Approach
عنوان به زبان ديگر :
No Title
پديد آورندگان :
Ghahari Bidgoli, Milad Sama Technical and Vocational Training College - Islamic Azad University - Islamshahr Branch - Islamshahr, Iran , Shakarami, Ali Islamic Azad University - Qom, Iran
كليدواژه :
Sequential tracking , parallel trackers , objects tracking , Motion mining
چكيده فارسي :
اين مقاله فاقد چكيده فارسي است.
چكيده لاتين :
In recent years, research into motion mining and tracking of moving objects in real-time have attracted the attention of many researchers. Therefore, a new model for motion mining based on a combination of sequential and parallel tracking strategies has been presented in this paper in order to take advantage of them and reducing their shortcomings simultaneously. In fact, combining tracker-level model helps to choose the right motion mining algorithm based on input data features, and also reduces tracking error by synchronizing tracker activity with parallel and series strategies simultaneously. In comparison with other existing solutions, this model provides important advantages such as decreasing the response time, improving the speed and increasing accuracy for tracking moving objects in the higher layers.
عنوان نشريه :
محاسبات و سامانه هاي توزيع شده
