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Olasilik hipotez yoǧunluǧu süzgeci kullanarak akustik sensörlerle kara araçlari takibi

Özkan, Emre
Güldoǧan, Burak
Orguner, Umut
Gustafsson, Fredrik
In this paper, we explore the potential of networked microphone arrays for multiple target tracking. Tracking is accomplished by using the direction-of-arrival (DOA) estimates of multiple microphone arrays. Each microphone array obtains the DOA estimates by using the wideband extensions of the multiple signal classification (MUSIC) technique. Based on these DOA estimates, multi target tracking is done by using Probability hypothesis density (PHD) and cardinalized probability hypothesis density (CPHD) algorithms. The results show that the CPHD performs better than the PHD as it estimates the number of targets more accurately.