Dynamic texture and scene classification are two fundamental problems in understanding
natural video content. Extracting robust and effective features is a crucial step towards …

Abstract Dynamic Textures (DTs) are sequences of images of moving scenes that exhibit
certain stationarity properties in time such as smoke, vegetation and fire. The analysis of DT …

Video representation is an important and challenging task in the computer vision community.
In this paper, we consider the problem of modeling and classifying video sequences of …

Identifying object in a dynamic scene is one of the main problems in computer vision. This is
directly related to solving recognition problem for dynamic texture. Recognizing dynamic …

This paper presents a new deep learning approach for video-based scene classification. We
design a Heterogeneous Deep Discriminative Model (HDDM) whose parameters are …

Sparse representations of data have been observed to contain rich distributed information of
the data with respect to specific learning tasks, such as image classification, regression, etc …

In this paper, a new approach of response stability based for visual object tracking is
developed. This approach proposes a response stability criterion to measure the tracking …

Automatic character recognition of handwritten numerals and characters has been an active
subject of research due to its importance on industrial as well as educational platform. The …

Human action recognition is an active and interesting research topic in computer vision and
pattern recognition field that is widely used in the real world. We proposed an approach for …