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Robust tracking based on local structural cell graph
Accepted Manuscript Robust Tracking based on Local Structural Cell Graph Heng Fan, Jinhai Xiang, Honghong Liao, Xiaoping Du PII: DOI: Reference:
S1047-3203(15)00090-5 http://dx.doi.org/10.1016/j.jvcir.2015.05.011 YJVCI 1531
To appear in:
J. Vis. Commun. Image R.
Received Date: Accepted Date:
30 October 2014 26 May 2015
Please cite this article as: H. Fan, J. Xiang, H. Liao, X. Du, Robust Tracking based on Local Structural Cell Graph, J. Vis. Commun. Image R. (2015), doi: http://dx.doi.org/10.1016/j.jvcir.2015.05.011
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Basketball
Bicycle
300 250
600 Frag L1 IVT MIL CT OAB TLD SPT Ours
180
200 150 100 50 0 0
160 140 120 100 80 60 40
200
300
400
500
600
700
300
200
100
0 0
800
50
100
150
200
250
0 0
300
50
100
Frame Index
Cup
150
Deer
300
350
Face
300 250
Center Location Error(pixel)
40
250
150 Frag L1 IVT MIL CT OAB TLD SPT Ours
350
60
200
Frame Index
400 Frag L1 IVT MIL CT OAB TLD Ours
Center Location Error(pixel)
Center Location Error(pixel)
400
20 100
120
80
Frag L1 IVT MIL CT TLD SPT Ours
500
Frame Index
100
Bolt
200 Frag L1 IVT MIL CT OAB TLD SPT Ours
Center Location Error(pixel)
Center Location Error(pixel)
350
Center Location Error(pixel)
400
200 150 100
Frag L1 IVT MIL CT OAB TLD SPT Ours
100
50
20 50 0 0
50
100
150
200
250
300
0 0
350
10
20
30
Frame Index
Gymnastics
50
200
300
400
500
600
700
200
100
50
100
150
300
350
400
150 100
250
200
400
600
800
Frame Index
1000
1200
1400
350
400
450
100
50
50
100
150
200
250
300
350
Woman 300
Frag L1 CT TLD SPT Ours
250
200
150
100
0 0
300
Frame Index
200
Frag L1 IVT MIL CT TLD SPT Ours
150
100
50
50
50
250
150
0 0
450
Center Location Error(pixel)
Center Location Error(pixel)
Center Location Error(pixel)
250
200
Liquor
300
200
0 0
200
350 Frag L1 IVT MIL CT OAB TLD SPT Ours
200
Frag L1 IVT MIL CT TLD Ours
Frame Index
Lemming
250
150
Jogging
150
0 0
800
450
300
100
Frame Index
50
100
50
250
Frame Index
350
0 0
80
Center Location Error(pixel)
100
400
70
Frag L1 IVT MIL CT OAB TLD SPT Ours
250
150
0 0
60
300 Frag L1 IVT MIL CT OAB TLD Ours
Center Location Error(pixel)
Center Location Error(pixel)
200
50
Iceskater
300
250
40
Frame Index
500
1000
Frame Index
1500
0 0
100
200
300
Frame Index
400
500
600
Research highlights of the paper : The structural relationship between the local object parts is modeled. The tracked object is represented with a local structural cell graph. Object tracking task is formulated as graph matching within Bayesian framework.
S1047-3203(15)00090-5 http://dx.doi.org/10.1016/j.jvcir.2015.05.011 YJVCI 1531
To appear in:
J. Vis. Commun. Image R.
Received Date: Accepted Date:
30 October 2014 26 May 2015
Please cite this article as: H. Fan, J. Xiang, H. Liao, X. Du, Robust Tracking based on Local Structural Cell Graph, J. Vis. Commun. Image R. (2015), doi: http://dx.doi.org/10.1016/j.jvcir.2015.05.011
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Basketball
Bicycle
300 250
600 Frag L1 IVT MIL CT OAB TLD SPT Ours
180
200 150 100 50 0 0
160 140 120 100 80 60 40
200
300
400
500
600
700
300
200
100
0 0
800
50
100
150
200
250
0 0
300
50
100
Frame Index
Cup
150
Deer
300
350
Face
300 250
Center Location Error(pixel)
40
250
150 Frag L1 IVT MIL CT OAB TLD SPT Ours
350
60
200
Frame Index
400 Frag L1 IVT MIL CT OAB TLD Ours
Center Location Error(pixel)
Center Location Error(pixel)
400
20 100
120
80
Frag L1 IVT MIL CT TLD SPT Ours
500
Frame Index
100
Bolt
200 Frag L1 IVT MIL CT OAB TLD SPT Ours
Center Location Error(pixel)
Center Location Error(pixel)
350
Center Location Error(pixel)
400
200 150 100
Frag L1 IVT MIL CT OAB TLD SPT Ours
100
50
20 50 0 0
50
100
150
200
250
300
0 0
350
10
20
30
Frame Index
Gymnastics
50
200
300
400
500
600
700
200
100
50
100
150
300
350
400
150 100
250
200
400
600
800
Frame Index
1000
1200
1400
350
400
450
100
50
50
100
150
200
250
300
350
Woman 300
Frag L1 CT TLD SPT Ours
250
200
150
100
0 0
300
Frame Index
200
Frag L1 IVT MIL CT TLD SPT Ours
150
100
50
50
50
250
150
0 0
450
Center Location Error(pixel)
Center Location Error(pixel)
Center Location Error(pixel)
250
200
Liquor
300
200
0 0
200
350 Frag L1 IVT MIL CT OAB TLD SPT Ours
200
Frag L1 IVT MIL CT TLD Ours
Frame Index
Lemming
250
150
Jogging
150
0 0
800
450
300
100
Frame Index
50
100
50
250
Frame Index
350
0 0
80
Center Location Error(pixel)
100
400
70
Frag L1 IVT MIL CT OAB TLD SPT Ours
250
150
0 0
60
300 Frag L1 IVT MIL CT OAB TLD Ours
Center Location Error(pixel)
Center Location Error(pixel)
200
50
Iceskater
300
250
40
Frame Index
500
1000
Frame Index
1500
0 0
100
200
300
Frame Index
400
500
600
Research highlights of the paper : The structural relationship between the local object parts is modeled. The tracked object is represented with a local structural cell graph. Object tracking task is formulated as graph matching within Bayesian framework.