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This paper presents fine-tuned CNN features for person re-identification. Recently, features extracted from top layers of pre-trained Convolutional Neural Network (CNN) on a large annotated dataset, e.g., ImageNet, have been proven to be strong off-the-shelf descriptors for various recognition tasks. However, large disparity among the pre-trained task, i.e., ImageNet classification, and the target...
We present a new descriptor for activity recognition from skeleton data acquired by Kinect. Previous approaches tend to employ complex descriptors which require extensively long computation time. In this study, we present an efficient and effective descriptor which we name as Histogram-of-Oriented-Velocity-Vectors (HOVV). It is a scale-invariant, speed-invariant and length-invariant descriptor for...
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