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This paper studies sequential forward feature selection that uses the scatter-matrix-based class separability measure. We find that by adding a scale factor to each iteration of the conventional sequential selection, a sequential selection that guarantees the global optimum can be attained. We give a thorough theoretical proof of its optimality via a novel geometric interpretation, and this leads...
In this paper, we introduce a new platform for integrated development of visual surveillance algorithms, named as PIL-EYE system. In our system, any functional modules and algorithms can be added or removed, not affecting other modules. Also, functional flow can be designed by simply scheduling the order of modules. Algorithm optimization becomes easy by checking computational load in real time. Furthermore,...
In this paper a new method for the measurement of near-shore wave height from a digital video sequence is presented. The method identifies the location of the main wave break zones and then detects shoaling waves inside the detected break zone and estimate their heights. A geometric rectification is then used to convert the height measurement from image pixels to metres. Validation of the algorithm...
Circular shortest paths represent a powerful methodology for image segmentation. The circularity condition ensures that the contour found by the algorithm is closed, a natural requirement for regular objects. Several implementations have been proposed in the past that either promise closure with high probability or ensure closure strictly, but with a mild computational efficiency handicap. Circularity...
This paper presents an efficient method in deciding macro-block mode and selecting prediction mode for intra prediction in H.264/AVC high profile. H.264/AVC supports nine intra prediction modes for luminance 4x4 and 8x8 blocks. The predictors include 8 directional modes and intra DC mode, which is non-directional mode. For luminance 16x16 blocks, the following 4 intra prediction modes are used: Vertical,...
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