Buổi seminar  về "Tracking nhiều đối tượng bằng phương pháp PHD filter (probability hypothesis density filter) và ứng dụng"

Abstract:

Recently, approaches using random set give a new direction for multi-sensor multi-object tracking. Here, the states of objects are represented as random sets. Using this model, the birth and death of objects can be explicitly described in the tracking
algorithm. Moreover, measurements and false alarms are also represented as random sets in the observation model. Mahler employed the random set framework to propose a probability hypothesis density filter (PHD). This method can avoid the data association between observations and targets. In this seminar, I will give an introduction about PHD filter and applications in radar tracking, speaker tracking and video tracking.

Speaker: Trung, PHAM, PhD Student, NUS, Singapore.

Thời gian: 10.30AM, thứ 4, ngày 07/02/2007

Địa điểm: phòng I81

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