像素点特征加权的尺度自适应跟踪算法

doi:10.11959/j.issn.1000-436x.2015259

Abstract

Abstract:

An effective object tracking method using weighted pixel features was proposed to deal with all kinds of complicated tracking situations,such as target movement,rotation,background interference and scaling and so on.First,the color feature and location information of the pixels in the target area were used to build the object model.Then the average weight image was used to estimate the scale variation coefficient.The aim was to adapt to the scale changes of the target.Finally,an update model was proposed,which was able to renew the object model and background model.The experimental results show that the proposed algorithm could make full use of the differences between pixels in the target area,so it can track more quickly and more effectively with strong robustness.

Key words: object tracking, scale-adaptive, model updating, pixel weighted-feature

Hui-lan LUO,Fang-fang DU,Fan-sheng KONG. Pixel feature-weighted scale-adaptive object tracking algorithm[J]. Journal on Communications, 2015, 36(10): 200-210.

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References 16

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算法	torus	lemming	skating2
SOAMST	1 265.5	2 645.6	6 942.4
FTSTC	795.37	3 394.8	213 451
SAOTPFW	340.2	1 753.9	2 803.6

算法	torus	lemming	skating2	panda	bird2	skiing
Mean-shift	36.241 2	5.467 6	25.109 5	64.902 8	131.793 4	233.907 1
CBWH	3.402 9	3.332 6	14.138 0	4.504 0	6.223 4	8.724 2
CT	49.418 9	5.379 2	74.584 7	7.160 9	22.099 7	259.105 1
ODFS	36.658 4	28.030 5	55.446 3	5.057 5	15.208 6	223.992 7
SOAMST	14.112 1	5.406 8	25.689 9	63.401 6	24.766 9	265.284 3
FTSTC	59.638 0	27.978 6	197.911 3	16.521 3	20.376 3	282.115 7
SAOTPFW	3.676 3	3.027 5	13.995 7	2.925 2	5.747 6	8.367 2

算法	torus	lemming	skating2	panda	bird2	skiing
Mean-shift	8.172 5	30.128 8	39.034 7	10.535 4	4.573 3	2.660 1
CBWH	8.403 5	28.865 7	37.009 7	10.606 8	4.744 6	2.788 1
CT	13.989 0	40.770 5	44.603 2	25.645 8	7.146 9	5.429 2
ODFS	16.834 7	46.863 5	55.530 5	25.372 6	8.175 1	6.382 9
SOAMST	64.000 4	240.202 6	211.815 6	46.292 7	38.985 0	8.238 3
FTSTC	9.292 7	24.495 3	33.637 7	13.685 0	5.154 9	3.165 3
SAOTPFW	8.781 9	34.714 5	45.053 0	10.757 9	5.341 8	3.235 2

Pixel feature-weighted scale-adaptive object tracking algorithm

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