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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

March 9, 2011

Speaker: Dr. David Fleet, Professor, Department of Computer Science, University of Toronto

Title: Model-Based Human Pose Tracking

Abstract: Recovery and analysis of human pose and motion from video is a key enabling technology for myriad potential applications, such as smart mobile devices, advanced surveillance systems, and new perceptual man-machine interfaces. Despite more than decade of focused research, however, the general problem of detecting and tracking people in natural environments, from monocular observations, remains challenging. Pose estimation is especially challenging because image measurements are often insufficient to fully constrain 3D pose, and as a consequence, current techniques rely heavily on prior models of human model. This talk will describe the nature of the problem and some recent advances in modeling human motion based on kinematic data, physics-based constraints, and biomechanical considerations.