Suzaimah Ramli, Tuan Khalisah Tan Zizi @ Tuan Zizi, Norulzahrah Mohd Zainudin, Nor Asiakin Hasbullah, Norshariah Abdul Wahab, Noor Afiza Mat Razali, et al.
Thermal imaging technology can be used to detect aggressive levels in humans based on the radiated heat from their face and body. Previous researches have proposed an approach to figure out human aggressive movements using HornSchunck optical flow algorithm in order to find the flow vector for all video frames but still not strong enough to confirm and verify the existence of an aggressive movement. In this work, we propose an approach by using thermal videos for frontal views of the human body which is face view. Then, video frames are collected using thermal camera and further extracted into thermal images. We use thermal imaging to monitor the face including prefrontal and periorbital region’s thermal variations and test whether it can offer a discriminative signature for detecting aggressiveness. We start by presenting an overview of 3400 thermal images extracted from 50 participants. The results obtained is promising where aggressive and non-aggressive features can be detected by using color-based approach.
Kathiravan, Yamunah, Mohd Fahmi Mohamad Amran, Noor Afiza Mat Razali, Mohd Afizi Mohd Shukran, Norshahriah Abdul Wahab, Mohammad Adib Khairuddin, et al.
Privacy has always been a constant concern for many people. Internet users are often worried about the browsing information that is left on their storage media. Web browsers were later introduced with a new feature called private browsing to overcome this issue. The private browsing mode is expected to behave as normal browsing session but without storing any data such as browser cookies, history, cache and passwords on the local machine. Unfortunately, previous researchers concluded web browser often failed to provide the intended privacy protection to their user. Along the way of this reviewing process, the weakness and downside of previous web browser vendors have been identified.