Full occlusion handling for pedestrian tracking via hybrid system

Xiaoyu ZHANG; Shiqiang HU; Huanlong ZHANG; Xing HU

Makale detayları

Full occlusion handling for pedestrian tracking via hybrid system

Yazarlar:

Xiaoyu ZHANG | Shiqiang HU | Huanlong ZHANG | Xing HU

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.820-831

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000740995

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Occlusion and lack of visibility even in sparse crowd   scenes make it difficult to track individual pedestrians correctly and   consistently, particularly in a single view. We present a novel pedestrian   tracking approach that connects tracking with reidentification to locate and   maintain the identity of certain people who may be occluded for a long time.   First, two models are constructed. One model tracks the pedestrian and   trains a classifier, while the other model reidentifies the pedestrian of   interest from detection results with the trained classifier. Secondly, we   design a set of transition rules for model switching. Finally, the two   models work alternatively based on the principle of a hybrid system to track   the pedestrian. Several typical sets of experiments show that the proposed   approach outperforms the state-of-the-art approaches and achieves robust   pedestrian tracking in the presence of full occlusion.

Makale detayları

Full occlusion handling for pedestrian tracking via hybrid system

Yazarlar: Xiaoyu ZHANG | Shiqiang HU | Huanlong ZHANG | Xing HU

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.820-831

Belge Tipi: Makale

Yayın Tarihi: 3/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000740995

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Xiaoyu ZHANG | Shiqiang HU | Huanlong ZHANG | Xing HU

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 2, pp.820-831

Belge Tipi:

Makale

Yayın Tarihi:

3/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000740995

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632