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Detecting Humans Under Occlusion Using Variational Mean Field Method, Duc Thanh Nguyen, Philip Ogunbona, Wanqing Li
Detecting Humans Under Occlusion Using Variational Mean Field Method, Duc Thanh Nguyen, Philip Ogunbona, Wanqing Li
Faculty of Informatics - Papers (Archive)
This paper proposes a human detection method using variational mean field approximation for occlusion reasoning. In the method, parts of human objects are detected individually using template matching. Initial detection hypotheses with spatial layout information are represented in a graphical model and refined through a Bayesian estimation. In this paper, mean field method is employed for such an estimation. The proposed method was evaluated on the popular CAVIAR-INRIA dataset. Experimental results show that the proposed algorithm is able to detect humans in severe occlusion within reasonable processing time.
The Social Implications Of Humancentric Chip Implants: A Scenario - ‘Thy Chipdom Come, Thy Will Be Done’, Rodney Ip, Katina Michael, M G. Michael
The Social Implications Of Humancentric Chip Implants: A Scenario - ‘Thy Chipdom Come, Thy Will Be Done’, Rodney Ip, Katina Michael, M G. Michael
Faculty of Informatics - Papers (Archive)
Radio frequency identification (RFID) chip implants for humans are no longer the tales of science fiction. Already preliminary findings have shown that the number of people willing to get chipped has increased since the technology’s commercial arrival in 2002, despite the fact that adoption rates have been very low. This investigation presents three case studies of the main users/ innovators of humancentric chip implants. The first case is of a British researcher in an academic institution who has conducted several implant experiments; the second case, is of a hobbyist and entrepreneur who has focused on the use of RFID implants …