Kniha Real Time Compressive Tracking By Image Processing Kalagadda Bikshalu

Real Time Compressive Tracking By Image Processing

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
47.39
Despite that numerous algorithms have been proposed in the literature, object tracking remains a cha...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2016
Stránok
100
EAN
9783659884689
Enbook ID
12628594
Hmotnosť
165
Rozmery
150 x 220 x 6

Kompletný popis

Despite that numerous algorithms have been proposed in the literature, object tracking remains a challenging problem due to appearance change caused bypose, illumination, occlusion, and motion, among others. An effective appearance model is of prime importance for the success of a tracking algorithm that has been attracting much attention in recent years. Tracking algorithms can be generally categorized as either generative or discriminative based on their appearance models. Generative tracking algorithms typically learn a model to represent the target object and then use it to search for the image region with minimal reconstruction error. Black et al. learn an off-line subspace model to represent the object of interest for tracking. The IVT method utilizes an incremental subspace model to adapt appearance changes. Recently, sparse representation has been used in the 1-tracker where an object is modeled by a sparse linear combination of target and trivial templates. However, the computational complexity of this tracker is rather high, thereby limiting its applications in real-time scenarios.

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