Recently, Spatial Pyramid Matching (SPM) with nonlinear coding strategies, e.g., sparse code based SPM (ScSPM) and locality-constrained linear coding (LLC), have achieved a lot of success in image classification. Although these methods achieve a higher recognition rate and take less time for classification than the traditional SPM, they consume more time to encode each local descriptor extracte...

The purpose of this paper is to derive conditions for absolute stability as well as existence of solutions for multivariable Lur’e-type feedback systems whose linear part is expressed by a descriptor system. The nonlinearities are uncertain and satisfy multivariable sector conditions, or a part of the nonlinearities satisfies a norm bounded condition. Thus, the systems can be refered to as mult...

This paper examines the problem of video transport over ATM networks using knowledge of both video system design and broadband networks. We find that the following trends hold for all sequences examined. First, increasing the delay in the video system decreases the necessary peak rate and significantly increases the number of calls that can be carried by the network. Second, as an operational t...

In this paper, we propose a new local spatiotemporal descriptor for videos and we propose a new approach for action recognition in videos based on the introduced descriptor. The new descriptor is called the Video Covariance Matrix Logarithm (VCML). The VCML descriptor is based on a covariance matrix representation, and it models relationships between different low-level features, such as intens...

A novel motion activity descriptor and its extraction from a compressed MPEG (MPEG-1/2) video stream are presented. The descriptor consists of two parts, a temporal descriptor and a spatial descriptor. To get the temporal descriptor, the “motion intensity” is first computed based on P frame macroblock information. Then the motion intensity histogram is generated for a given video unit as the te...

Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. Such a descriptor--based on a set of oriented Gaussian derivative filters-is used in our recognition system. We report here an evaluation of several techniques for orientation estimation to achieve rotation invariance...

Abstract: This paper presents new LMI characterizations for stability, H2 and H∞ norms of discrete-time descriptor systems. Based on these characterizations, an iterative design procedure for multiobjective and structurally constrained feedback control are proposed. The first key idea of the iterative design procedure is embedding the previously designed feedback gain K̂ in the descriptor repres...

This paper discusses the experimentation of a robust face recognition descriptor and its implementation in camera based lecture attendance system. The Speeded Up Robust Features (SURF) descriptor used for recognition produced a reliable performance with regard to change in illumination, scale and rotation of the test images used. Experiments were done on various test images with varying conditi...

The problem of delay-dependent robust H∞ control for T-S fuzzy descriptor networked control systems with multiple state time-delays is investigated. First, in terms of linear matrix inequality (LMI) approach, an improved delay-dependent criterion is established to ensure that the descriptor system is regular, impulse free and stable with H∞ performance. Without using model transformation and bo...

In this paper, the problems of state and fault estimation are addressed for a class of switched descriptor systems subject to Lipschitz nonlinearities and unknown inputs (UI). The UI appear both on the dynamic and on the measurement equations. Two problems are addressed by L2-gain minimization with the use of switched Lyapunov functions and formulated by LMI. First, a functional observer for sw...