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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

(a) The original image of the car. (b) The tMHI of the car. Here, σ = 20 and δ = 10 s.
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Related In: Results  -  Collection


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fig1: (a) The original image of the car. (b) The tMHI of the car. Here, σ = 20 and δ = 10 s.

Mentions: Timed motion history image (tMHI) is a smart motion segmentation method [20] that is extended from MHI. A history of temporal changes is kept at each pixel location and then decays over time. The tMHI utilizes a floating-point MHI where new silhouette values are represented with floating-point timestamp. Meanwhile, the tMHI is updated with the timestamp of current system. The more recent pixels of the moving object have higher intensity. The tMHI image is computed as(4)tMHIδ(x,y)={τif  current  silhouette  at  (x,y)0else  if  tMHIδ(x,y)<(τ−δ),where τ is the current timestamp and δ is the decay parameter that determines the motion length. Figure 1 shows the tMHI of a car. From Figure 1, we can conclude that the tMHI provides coherent motion information to represent the motion trail of moving object over time.


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)

(a) The original image of the car. (b) The tMHI of the car. Here, σ = 20 and δ = 10 s.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig1: (a) The original image of the car. (b) The tMHI of the car. Here, σ = 20 and δ = 10 s.
Mentions: Timed motion history image (tMHI) is a smart motion segmentation method [20] that is extended from MHI. A history of temporal changes is kept at each pixel location and then decays over time. The tMHI utilizes a floating-point MHI where new silhouette values are represented with floating-point timestamp. Meanwhile, the tMHI is updated with the timestamp of current system. The more recent pixels of the moving object have higher intensity. The tMHI image is computed as(4)tMHIδ(x,y)={τif  current  silhouette  at  (x,y)0else  if  tMHIδ(x,y)<(τ−δ),where τ is the current timestamp and δ is the decay parameter that determines the motion length. Figure 1 shows the tMHI of a car. From Figure 1, we can conclude that the tMHI provides coherent motion information to represent the motion trail of moving object over time.

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