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Robust visual tracking remains a technical challenge in real-world applications, as an object may involve many appearance variations. In existing tracking frameworks, objects in an image are often represented as vector observations, which discounts the 2-D intrinsic structure of the image. By considering an image in its actual form as a matrix, we construct the 3rd order tensor based object representation...
Background modelling and subtraction is an essential component in motion analysis with wide range of applications in computer vision, whereas the task becomes more challenging in context of complex scenarios such as dynamic backgrounds. In this paper, we address the problem of modelling dynamic backgrounds in online tensor leaning framework. We use Tucker decomposition to model thespatio-temporal...
Facial expressions are considered to be an effective and non-verbal means of expressing the emotional states of humans in more natural and non-intrusive way. Automatically recognizing the emotions consequently contributes towards the advances in the areas such as human computer interaction, clinical psychology and data-driven animations. Deriving a relevant and reduced set of features is a vital step...
Lightning has been one of the major problems for insulation design of power systems and it is still one of the main causes of forced outages in transmission and distribution lines. It is necessary to protect the power apparatus from over volts in electric system caused by lightning over voltages. Artificial intelligence (AI) techniques, such as expert system (ES), fuzzy logic (FL), and artificial...
Cognitive Radio (CR) is a future radio technology that is aware of its environment, internal state and can change its operating behavior (transmitter parameters) accordingly. It is intended to coexist with primary users (PUs) for using the underutilized spectrum without any harmful interference. Its key domains are sensing, cognition and adaptation. This paper presents a detailed survey of coexistence...
Cognitive Radio (CR) is a wireless advanced technology which can utilize an unlicensed as well as a licensed spectrum without a harmful interference to the primary users. An unbiased consistent spectrum estimator is required for the primary user's detection (sensing) for distinguishing the narrow band signals in a noisy environment. Cognitive radio's hardware solutions available in a commercial market...
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