Senyo Apewokin

Multimodal Mean Adaptive Backgrounding for Embedded Real-Time Video Surveillance

Antonio Gentile, D. Scott Wills, Linda M. Wills, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Tracking multiple pedestrians in real-time using kinematics

D. Scott Wills, Linda M. Wills, D. S. Wills, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling

Antonio Gentile, Linda M. Wills, Dana Forsthoefel, 2009 .

Real-Time Adaptive Background Modeling for Multicore Embedded Systems

D. Scott Wills, Linda M. Wills, Jee Choi, 2011, J. Signal Process. Syst..

Edge noise removal in multimodal background modeling techniques

Linda M. Wills, Jee Choi, D. S. Wills, 2008, Electronic Imaging.

Bypassing BigBackground: An efficient hybrid background modeling algorithm for embedded video surveillance

D. Scott Wills, Linda M. Wills, Jee Choi, 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

Cat-Tail DMA: Efficient Image Data Transport for Multicore Embedded Mobile Systems

D. Scott Wills, Linda M. Wills, Senyo Apewokin, 2010, J. Mobile Multimedia.

Efficiently mapping high-performance early vision algorithms onto multicore embedded platforms

Senyo Apewokin, S. Apewokin, 2009 .

Midground object detection in real world video scenes

Antonio Gentile, D. Scott Wills, Linda M. Wills, 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.

An efficient, chromatic clustering-based background model for embedded vision platforms

D. Scott Wills, Linda M. Wills, D. S. Wills, 2010, Comput. Vis. Image Underst..