... app will show the status of that area accordingly, and at the basic level, it also helps people to locate and suggest infected people [36]. And the government did their work at their best ... video outlines. The creator used a foundation ...
... object is modeled by the HS (Hue-Saturation) color histogram of the rectangle enclosing the moving object. The ... (app). The OA (st) includes the camera id, the zone id, the position, and time of appearance at the zone A as T(O ZA ) ...
... objects based on images captured or live video streams. The authors of “Object Recognition by Effective Methods and Means of Computer Vision” designed new solutions for objects sensed by cameras to perform image recognition with the ...
... object tracking is a challenge in the field of computer vision; many algorithms are put forward to overcome the ... video sequences are MS and CBWH MS using Kalman filter; hence, this method is better than the traditional MS track ...
This first book on real-time computer vision will interest all involved in the design and programming of visually guided systems.
... tracking data is required for inference. Recently, Droste et al. [14] demonstrated that a saliency predictor trained entirely with- out manual annotations can be transferred to perform standard plane detection in routine clinical videos ...
... Object Recognition, Obstacle Detection and Avoidance, Navigation, Direction Aid, and Real-Time Location Sharing for ... video in realtime from the camera and marks them with boxes. Lastly, the audio output is given to the visually ...
... app. g) 3D tracking. Top augmented reality platforms can recognise 3D objects, such as cups, cylinders, boxes ... object in a certain place while a user moves around the room. Also, this technology can go far beyond adding AR ...
This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in ...
... video sequences that can move the object quickly or slowly. The method proposed is based on the subtraction of the background and the matching of SIFT features. The object is detected with ... Object Tracking Using Machine Learning 73.