Real Time Compressive Tracking By Image Processing

Name: Real Time Compressive Tracking By Image Processing
Brand: LAP Lambert Academic Publishing
SKU: 9783659884689
Price: 18448 HUF
Availability: InStock

Szerző: Kalagadda Bikshalu

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP Lambert Academic Publishing

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

18 448 Ft

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

Információk a könyvről

Szerző

Kalagadda Bikshalu

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2016

oldal

100

EAN

9783659884689

Enbook ID

12628594

Kiadó

LAP Lambert Academic Publishing

Súly

165

Méretek

150 x 220 x 6

Teljes leírás

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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