Funded research
Object Tracking, Geopositioning and Navigation
Object tracking is a typical computer vision problem defined in image space. Extending it to 3D can be achieved by 3D sensing of the environment. Our focus in PCVLab includes and goes beyond typical object tracking to geopositioning objects in an absolute coordinate system. | LEARN MOREVisual Contour Tracking
High level vision tasks, such as recognition, understanding, etc., require tracking of the enclosing contour of objects. In general, objects undergo non-rigid deformations, which limit the applicability of using motion models that impose rigidity constraints on the objects. | LEARN MOREAstronaut Navigation
As experienced by Apollo lunar astronauts, spatial orientation can be affected significantly by lunar environmental conditions such as the moon's altered gravity, lack of an atmosphere, limited spatial references, and different level of reflectivity. | LEARN MOREKeypoint Matching and Tracking
-------- PUBLICATIONS -------------------------------------------------------- 1) J. Wan, A. Yilmaz and L. Yan. October 2019. PPD: Pyramid Patch Descriptor via Convolutional Neural Network. Photogrammetric Engineering and Remote Sensing. Volume... | LEARN MOREObject Representation
-------- PUBLICATIONS -------------------------------------------------------- 1) C. Xiao and A. Yilmaz. 09/2017. A Unique Target Representation and Voting Mechanism For Visual Tracking. IEEE Int. Conf. Image Processing. Beijing, China. 2) C. | LEARN MOREBackground Subtraction
-------- PUBLICATIONS -------------------------------------------------------- 1) D. Zamalieva and A. Yilmaz, “Background subtraction for the moving camera: A geometric approach,” Computer Vision and Image Understanding, vol. 127, pp. 73 – 85, 2014. 2) D. | LEARN MOREDeep Learning Related Projects
B. Zha, M. T. Koroglu and A. Yilmaz. Trajectory Mining for Localization using Recurrent Neural Network. 2019 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, 2019, pp. 1-4. J. Wei, M. T. Koroglu, B. | LEARN MORETemporal Camera Geometry
-------- PUBLICATIONS -------------------------------------------------------- * Zamalieva, A. Yilmaz and J. Davis. 2014. Exploiting Temporal Geometry for Moving Camera Background Subtraction. International Conference on Pattern Recognition (ICPR). | LEARN MOREReinforcement Learning For Localization and Navigation
Bing please update this page . | LEARN MORESensor Fusion
-------- PUBLICATIONS -------------------------------------------------------- 1) Y. Zhang and A. Yilmaz, “Structured light based 3D scanning for specular surface by the combination of gray code and phase shifting,” ISPRS - International... | LEARN MOREMultiple View Geometry
.... Object Recognition P. Srestasathiern and A. Yilmaz, "View invariant object recognition," 2008 19th International Conference on Pattern Recognition, Tampa, FL, 2008, pp. 1-4. .... Action Recognition A. Yilmaz and M. Shah, "Recognizing human actions... | LEARN MORE
Links to all the projects