Titlebook: Computer Vision - ACCV 2010; 10th Asian Conferenc Ron Kimmel,Reinhard Klette,Akihiro Sugimoto Conference proceedings 2011 Springer Berlin H

COKE

The theory, the model, an analytic strategynging car manufacturing dataset showed that the proposed scene descriptor is able to detect both human and machinery related motion robustly and the used time series analysis method can classify tasks in a given workflow automatically.

Coterminous

https://doi.org/10.1007/978-1-349-07434-1entifying the most “important” vertices in the graph (following centrality theory). The results on four standard activity recognition datasets show the efficacy of our approach when compared to the present state of the art.

violate

Image and Video Decolorization by Fusion operator has been tested on a large dataset of both natural and synthetic images. We demonstrate the effectiveness of our technique, based on an extensive evaluation against the state-of-the-art grayscale methods, and its ability to decolorize videos in a consistent manner.

FID

Video Temporal Super-Resolution Based on Self-similarity a given video, for instance by resolving one frame to two frames. Based on the quantitative evaluation of experimental results, we demonstrate that our method can generate enhanced videos with increased temporal resolution thereby recovering appearances of dynamic scenes.

syring

Change Detection for Temporal Texture in the Fourier Domain distributions, and consequently the temporal textures. Experiments use a wide range of videos of temporal textures, groups of people, traffic. The proposed approach leads to correct change detection, at a low computational cost.

貪婪地吃

Stream-Based Active Unusual Event Detectional human supervision, our approach outperforms existing supervised and unsupervised learning strategies in identifying unusual events. In addition, better performance is achieved by using adaptive multi-criteria approach compared to existing single criterion and multi-criteria active learning strategies.

giggle

笨拙的你

Automatic Workflow Monitoring in Industrial Environmentsnging car manufacturing dataset showed that the proposed scene descriptor is able to detect both human and machinery related motion robustly and the used time series analysis method can classify tasks in a given workflow automatically.

領(lǐng)先

Grasping

Conference proceedings 2011ld in Queenstown, New Zealand in November 2010.All together the four volumes present 206 revised papers selected from a total of 739 Submissions. All current issues in computer vision are addressed ranging from algorithms that attempt to automatically understand the content of images, optical method