We propose a joint optical flow and principal component analysis (PCA) method for motion detection. PCA is used to analyze optical flows so that major optical flows corresponding to moving objects in a local window can be better extracted. This joint approach can efficiently detect moving objects and more successfully suppress small turbulence. It is particularly useful for motion detection from outdoor videos with low quality. It can also effectively delineate moving objects in both static and dynamic background. Experimental results demonstrate that this approach outperforms other existing methods by extracting the moving objects more completely with lower false alarms.
My paper Telling Experts from Spammers: Expertise Ranking in Folksonomies, a joint work written together with fellow Ph.D. candidate Ching-Man Au Yeung from
Visualization of graph data is incredibly challenging, particularly when it comes to extremely large, scale-free graphs and social networks. A few simple searches on the Web and you will find some mesmerizing and very cool images. Perhaps the most cited...
The site presents a hierarchical organization for Wikipedia articles with respect to their semantic similarity and provides search and navigation facilities over the hierarchy. The hierarchy is constructed as a recursive division of the English Wikipedia graph into dense subgraphs (graph communities) and can be considered as an extension to the Wikipedia category structure. Unlike Wikipedia categories that are primarily authored by humans, the community hierarchy is fully automatic, purely link-based and reflects the global link structure of Wikipedia.
Thermography provides a monitoring technique for modern production processes. Our thermal imaging systems are self-contained and portable to cater all areas of thermography and being able to meet a wide range of requirements.
I. Golan, and R. El-Yaniv. Proceedings of the 32nd International Conference on Neural Information Processing Systems, page 9781–9791. Red Hook, NY, USA, Curran Associates Inc., (2018)