167 citations · 200 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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…
Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking
Mei Kuan Lim, Chee Seng Chan, Dorothy Monekosso +1
Conventional tracking solutions are not feasible in handling abrupt motion as they are based on smooth motion assumption or an accurate motion model. Abrupt motion is not subject t…
Scene Image is Non-Mutually Exclusive - A Fuzzy Qualitative Scene Understanding
Chern Hong Lim, Anhar Risnumawan, Chee Seng Chan
Ambiguity or uncertainty is a pervasive element of many real world decision making processes. Variation in decisions is a norm in this situation when the same problem is posed to d…