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Real-time tracking by double templates matching based on timed motion history image with HSV feature.

Li Z, Li P, Yu X, Hashem M - ScientificWorldJournal (2014)

Bottom Line: This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV).The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating.Secondly, the tMHI-HSV is used to segment the motion region and calculate these candidate object patches' color histograms to represent their appearance models.

View Article: PubMed Central - PubMed

Affiliation: College of Information Science and Engineering, Hunan University, Changsha 410082, China.

ABSTRACT
It is a challenge to represent the target appearance model for moving object tracking under complex environment. This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV). The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating. Firstly, we initialize the target object region and calculate its HSV color histogram feature as offline template and online template. Secondly, the tMHI-HSV is used to segment the motion region and calculate these candidate object patches' color histograms to represent their appearance models. Finally, we utilize the DTM method to trace the target and update the offline template and online template real-timely. The experimental results show that the proposed method can efficiently handle the scale variation and pose change of the rigid and nonrigid objects, even in illumination change and occlusion visual environment.

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Related in: MedlinePlus

Tracking results of girl pose sequence. Frames 5, 25, 45, 65, 85, and 105 are displayed.
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Related In: Results  -  Collection


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fig5: Tracking results of girl pose sequence. Frames 5, 25, 45, 65, 85, and 105 are displayed.

Mentions: Pose Change. We use the girl pose sequence captured by ourselves and intelligent room sequence to evaluate the trackers' abilities in handling pose change problem. Some tracking results are illustrated in Figures 5 and 6. From Figure 5, we note that our tracker outperforms OBT and CT methods. No matter how the girl moves, our tracker is satisfied while the others are not. As for the intelligent room sequence, the man has a pose change. Into the bargain, his scale changes a lot. Both of the OBT and CT methods produce drift problems. OBT tracker even lost the target, whereas our method utilizes tMHI and an online template is updated in real time to adapt the target's pose change. Thus, we obtain better results.


Real-time tracking by double templates matching based on timed motion history image with HSV feature.

Li Z, Li P, Yu X, Hashem M - ScientificWorldJournal (2014)

Tracking results of girl pose sequence. Frames 5, 25, 45, 65, 85, and 105 are displayed.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3921993&req=5

fig5: Tracking results of girl pose sequence. Frames 5, 25, 45, 65, 85, and 105 are displayed.
Mentions: Pose Change. We use the girl pose sequence captured by ourselves and intelligent room sequence to evaluate the trackers' abilities in handling pose change problem. Some tracking results are illustrated in Figures 5 and 6. From Figure 5, we note that our tracker outperforms OBT and CT methods. No matter how the girl moves, our tracker is satisfied while the others are not. As for the intelligent room sequence, the man has a pose change. Into the bargain, his scale changes a lot. Both of the OBT and CT methods produce drift problems. OBT tracker even lost the target, whereas our method utilizes tMHI and an online template is updated in real time to adapt the target's pose change. Thus, we obtain better results.

Bottom Line: This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV).The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating.Secondly, the tMHI-HSV is used to segment the motion region and calculate these candidate object patches' color histograms to represent their appearance models.

View Article: PubMed Central - PubMed

Affiliation: College of Information Science and Engineering, Hunan University, Changsha 410082, China.

ABSTRACT
It is a challenge to represent the target appearance model for moving object tracking under complex environment. This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV). The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating. Firstly, we initialize the target object region and calculate its HSV color histogram feature as offline template and online template. Secondly, the tMHI-HSV is used to segment the motion region and calculate these candidate object patches' color histograms to represent their appearance models. Finally, we utilize the DTM method to trace the target and update the offline template and online template real-timely. The experimental results show that the proposed method can efficiently handle the scale variation and pose change of the rigid and nonrigid objects, even in illumination change and occlusion visual environment.

Show MeSH
Related in: MedlinePlus