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The analysis of fish movement as an indicator of fish behaviour plays an important role in aquaculture research. Currently observations are carried out manually using video recordings. In this paper we describe a tracking system which can automatically detect and track two fish in a video sequence in a small aquaculture tank. The system is based on the particle filter tracking algorithm augmented...
LPBoost seemingly should have better generalization capability than AdaBoost according to the margin theory (Schapire, 1999) because LPBoost optimizes the minimum margin directly. Thus far, however, there is no empirical comparison and theoretical explanation of LPBoost against AdaBoost. We have conducted an experimental evaluation on the classification performance of LPBoost and AdaBoost in this...
Although applications like transmission and sharing of multimedia are particularly attractive for many reasons, there are several factors, e.g. bandwidth, compression ratio or the important issue of unreliability of the transmission medium, that prohibit from gaining the most benefit of these applications. We describe in this paper a video codec for video transmission application. A resilient coding...
In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis.
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