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The increasing availability of large-scale vehicle traffic data provides us great opportunity to explore them for knowledge discovery in intelligent transportation systems. Many mechanisms have been proposed to discover all outliers in a road network lately due to an increasing capability to track moving vehicles. In this paper, we propose a new problem called the road segment-based outliers detection...
This paper proposes a coarse-to-fine strategy to detect human actions in the realistic videos given a single example of such action. The proposed method is learning-free and doesn't require any prior knowledge. Input video is separated into a batch of spatio-temporal volumes based on chi-square distance measure of the volumetric features and further identified by contextual motion information. Instead...
This paper proposes a framework of face tracking with classification, which can better meet the real requirements in the surveillance systems. Face tracking is performed by a novel constrained CAMShift algorithm, namely CAMShift- C, by posing three restrict conditions, including evaluation of location accuracy, scale of face area and dynamic histogram updating. The advantages of LBP-based face classification...
Nonnegative matrix factorization (NMF) is an unsupervised method whose aim is to find an approximate factorization Vn*m = Wn*r*Hr*m into non-negative matrices Wn*r and Hr*m. This paper presents an extension to NMF and discusses the development and the use of damped Newton based the non-negative matrix factorization called DNNMF with good convergence properties for wood image representation by adding...
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