activity
20142023
most citedA Fusion Approach for Efficient Human Skin Detection

167 citations · 577 across the 21 of their papers we have counts for

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Showing 2014Show all

7 papers · 1 filter

cs.CV2014★ 89 cited

Fuzzy human motion analysis: A review

Chern Hong Lim, Ekta Vats, Chee Seng Chan

Human Motion Analysis (HMA) is currently one of the most popularly active research domains as such significant research interests are motivated by a number of real world applicatio…

cs.CV2014

Detection of Salient Regions in Crowded Scenes

Mei Kuan Lim, Chee Seng Chan, Dorothy Monekosso +1

The increasing number of cameras and a handful of human operators to monitor the video inputs from hundreds of cameras leave the system ill equipped to fulfil the task of detecting…

cs.CV2014★ 3 cited

Crowd Saliency Detection via Global Similarity Structure

Mei Kuan Lim, Ven Jyn Kok, Chen Change Loy +1

It is common for CCTV operators to overlook inter- esting events taking place within the crowd due to large number of people in the crowded scene (i.e. marathon, rally). Thus, ther…

cs.CV2014

Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding

Wai Lam Hoo, Tae-Kyun Kim, Yuru Pei +1

Image understanding is an important research domain in the computer vision due to its wide real-world applications. For an image understanding framework that uses the Bag-of-Words…

cs.CV2014★ 167 cited

A Fusion Approach for Efficient Human Skin Detection

Wei Ren Tan, Chee Seng Chan, Pratheepan Yogarajah +1

A reliable human skin detection method that is adaptable to different human skin colours and illu- mination conditions is essential for better human skin segmentation. Even though…

cs.CV2014★ 10 cited

Zero-Shot Object Recognition System based on Topic Model

Wai Lam Hoo, Chee Seng Chan

Object recognition systems usually require fully complete manually labeled training data to train the classifier. In this paper, we study the problem of object recognition where th…