Real Time Compressive Tracking By Image Processing

Name: Real Time Compressive Tracking By Image Processing
Brand: LAP Lambert Academic Publishing
SKU: 9783659884689
Price: 1082 CZK
Availability: InStock

Autor: Kalagadda Bikshalu

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 082 Kč

Despite that numerous algorithms have been proposed in the literature, object tracking remains a cha...

Informace o knize

Autor

Kalagadda Bikshalu

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

100

EAN

9783659884689

Enbook ID

12628594

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

165

Rozměry

150 x 220 x 6

Kompletní 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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Real Time Compressive Tracking By Image Processing

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