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

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書目名稱Computer Vision - ACCV 2014 Workshops影響因子(影響力)




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書目名稱Computer Vision - ACCV 2014 Workshops被引頻次學(xué)科排名




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書目名稱Computer Vision - ACCV 2014 Workshops讀者反饋學(xué)科排名

somnambulism

Assault

https://doi.org/10.1057/9781137517173rs. The recognition effects of our framework are evaluated on three benchmark datasets: KTH, Weizmann, and YouTube. The experimental results demonstrate that the hybrid descriptor, facilitated with VLAD encoding method, outperforms traditional descriptors by a large margin.

勛章

–DOX

pantomime

Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encodingrs. The recognition effects of our framework are evaluated on three benchmark datasets: KTH, Weizmann, and YouTube. The experimental results demonstrate that the hybrid descriptor, facilitated with VLAD encoding method, outperforms traditional descriptors by a large margin.

pantomime

Tidious

Hand Detection and Tracking in Videos for Fine-Grained Action Recognitionbjects. We validate our method of detecting and tracking hands on VideoPose2.0 dataset and apply our method of classifying actions to the playing-instrument group of UCF-101 dataset. Experimental results show the effectiveness of our approach.

grandiose

Online Learning of Binary Feature Indexing for Real-Time SLAM Relocalizationmate nearest neighbor search than LSH. By distributing the online learning into the simultaneous localization and mapping (SLAM) process, we successfully apply the method to SLAM relocalization. Experiments show that camera poses can be successfully recovered in real time even there are tens of thousands of landmarks in the map.

Incorruptible

Linnaeus and the Four Corners of the WorldWe compare the performance of the proposed motion boundary trajectory approach with other state-of-the-art approaches, e.g., trajectory based approach, on a number of human action benchmark datasets (YouTube, UCF sports, Olympic Sports, HMDB51, Hollywood2 and UCF50), and found that the proposed approach gives improved recognition results.