2019 · 10 citations · 13 references
ComputingComputer ScienceRobotics EngineeringComputer VisionRobot VisionRoboticsMachine Vision For RoboticsMotion AnalysisMotion EstimationObject DetectionRobotic VisionVisual TrackingGaussian Mixture ModelsMixture ModelMotion DetectionObject Detection For RoboticsObject Detection In Autonomous DrivingObjectsReal-time Feature DetectionReal-time Object Detection
In this paper, we have addressed the problem of real-time detection and tracking of dynamic objects using quadrotors. We have developed a novel object detection algorithm by analyzing and matching the color and spacial features of the target from monocular image sequences. The proposed object detection algorithm can track the objects with high Frame Per Second (FPS) which is suitable for low-end onboard computers that are used in quad-rotors. In addition, we also estimate the position of the target object in real world so that the drone can track the object accurately. A rigorous experimental analysis is provided to show the efficacy of the proposed approach in indoor as well as outdoor environments.
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Adaptive background mixture models for real-time tracking
Chris Stauffer, W. Eric L. Grimson · 2003 · 6.9K citations
Learning Depth from Single Monocular Images
Ashutosh Saxena, Sung Heon Chung, Andrew Y. Ng · 2005 · 939 citations