Titlebook: Computer Vision - ACCV 2014 Workshops; Singapore, Singapore C.V. Jawahar,Shiguang Shan Conference proceedings 2015 Springer International P

liposuction

富饶

思考

芦笋

Unsupervised Temporal Ensemble Alignment for Rapid Annotationiom that an ensemble of temporal signals stemming from the same source/class should have lower rank when “aligned” rather than “misaligned”. Our approach shares similarities with recent state of the art methods for unsupervised images ensemble alignment (e.g. RASL) which breaks the problem into a se

Meditative

Motion Boundary Trajectory for Human Action Recognition, second, the resulting motion boundary trajectories extracted from videos, together with other local descriptors in the neighbourhood of the extracted motion boundary trajectories, histogram of oriented gradients, histogram of optical flow, motion boundary histogram, can be used as local descriptor

Horizon

Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encodingtence of intra-class diversity and inter-class overlaps among different action categories. The key trick of action recognition lies in the extraction of more comprehensive features to cover the action, as well as a compact and discriminative video encoding representation. Based on this observation,

突变

有斑点

3D Activity Recognition Using Motion History and Binary Shape Templatesas compared to the state-of-the-art for characterizing depth sequences. Activity enactment video is divided into temporally overlapping blocks. Each block (set of image frames) is used to generate Motion History Templates (MHTs) and Binary Shape Templates (BSTs) over three different views - front, s

笨拙处理

Gait Recognition Based Online Person Identification in a Camera Networksis. We propose an online method wherein the gait space of individuals are created as they are tracked. The gait space is view invariant and the recognition process is carried out in a distributed manner. We assume that only a fixed known set of people are allowed to enter the area under observation

会犯错误

Gesture Recognition Performance Score: A New Metric to Evaluate Gesture Recognition Systemsult task. The available algorithms have different strengths and weaknesses making the matching between algorithms and applications complex. Accurate evaluation of the performance of a gesture recognition algorithm is a cumbersome task. Performance evaluation by recognition accuracy alone is not suff