A Alahi, D Marimon, M Bierlaire… - 2008 15th IEEE …, 2008 - ieeexplore.ieee.org
… objectdetection algorithms on mobilecameras suffer from the lack of a-priori knowledge on the object to be detected. … behavior affect the robustness of the detection process. In general, …
… of the object relative to the camera. Objectdetection systems construct a model for an object … Consider the problem of detecting instances from one object class of fixed size but varying …
D Shahare, R Shende - International Journal of Computer Applications …, 2014 - ijcatr.com
… to moving objectdetection and discussed the optimization process that can lead to improved objectdetection and the speed of formulating the low rank model for detectedobject. …
… objects of interest highlighted in the fixedcamera. Right column presents the matched objects detected by our algorithm in the mobilecamera … of cameras on fixed and moving platforms. …
… small networks of fixedcameras may be … detection, tracking, and recognition of objects. In Section III, we describe some of the challenges in objectdetection from uncalibrated cameras …
… about moving objectsdetection with a moving camera. The aim … First, we define notions of moving objects and moving cameras … can only perform rotations since its optical center is fixed. …
… the methods of objectdetection and background subtraction for a fixedcamera, there is no … the existing different methods in the case of moving camera. Most methods in this field can be …
B Leibe, K Schindler, N Cornelis… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
… Tracking with a moving camera is a notoriously difficult task … camera invalidates many simplifying techniques we have grown fond of, such as background subtraction and a constant …
… objectdetection on non-stationary cameras running within 5.8 milliseconds (ms) on a PC, and real-time on mobile … cameras is that they usually have a fixed learning rate. Having a …