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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

Results of CLE.
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Related In: Results  -  Collection


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fig9: Results of CLE.

Mentions: In addition to the qualitative evaluation, the success rate (SR) and center location error (CLE) measured with manually labeled ground truth data are used for the quantitative evaluation. The score of SR is defined as(12)score=area(ROIT∩ROIG)area(ROIT∪ROIG),where ROIT is the tracking bounding box and ROIG is the ground truth tracking box. We consider the tracking result as a success if the score is larger than 0.5 in one frame. The SRs presented in Table 3 demonstrate that our method achieves the best result or the second best result. The distance (pixel) between the center location of the tracked target and the ground truth is used to measure the CLE. The results of CLE shown in Figure 9 illustrate that our method outperforms the other two methods. For the blue car sequence, the OBT performs slightly worse, although the three trackers have low CLEs. The OBT fails to track the car after the 80th frame in the white car sequence. CT and our method succeed in tracking the white car, whereas our method produces very few CLEs. The distances calculated from girl pose sequence are all lower than 25, yet our method shows a better result on the whole sequence. In terms of intelligent room sequence, OBT lost the target after the 160th frame and the distances produced by CT are larger than that generated through our method. As to the girl occlusion sequence, both OBT and CT are unable to track the girl when she is under heavy or even complete occlusion. However, our method maintains the performance in such scenario. From the results of car sequence shown in Figure 9, we note that the CT cannot handle the illumination change problem, while OBT and our method perform well.


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)

Results of CLE.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig9: Results of CLE.
Mentions: In addition to the qualitative evaluation, the success rate (SR) and center location error (CLE) measured with manually labeled ground truth data are used for the quantitative evaluation. The score of SR is defined as(12)score=area(ROIT∩ROIG)area(ROIT∪ROIG),where ROIT is the tracking bounding box and ROIG is the ground truth tracking box. We consider the tracking result as a success if the score is larger than 0.5 in one frame. The SRs presented in Table 3 demonstrate that our method achieves the best result or the second best result. The distance (pixel) between the center location of the tracked target and the ground truth is used to measure the CLE. The results of CLE shown in Figure 9 illustrate that our method outperforms the other two methods. For the blue car sequence, the OBT performs slightly worse, although the three trackers have low CLEs. The OBT fails to track the car after the 80th frame in the white car sequence. CT and our method succeed in tracking the white car, whereas our method produces very few CLEs. The distances calculated from girl pose sequence are all lower than 25, yet our method shows a better result on the whole sequence. In terms of intelligent room sequence, OBT lost the target after the 160th frame and the distances produced by CT are larger than that generated through our method. As to the girl occlusion sequence, both OBT and CT are unable to track the girl when she is under heavy or even complete occlusion. However, our method maintains the performance in such scenario. From the results of car sequence shown in Figure 9, we note that the CT cannot handle the illumination change problem, while OBT and our method perform well.

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