Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-Tagged Objects
نویسندگان
چکیده
منابع مشابه
Online multiple people tracking-by-detection in crowded scenes
Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...
متن کاملUAV Path and Sensor Planning Methods for Multiple Ground Target Search and Tracking - A Literature Survey
This report gives an overview of methods and approaches applicable to the UAV flight path and sensor aiming planning problem for search and track of multiple ground targets. The main focus of the survey is on stochastic optimal control, dynamic programming, partially observable Markov decision processes, sensor scheduling, bearings-only tracking, search and exploration. References to standard t...
متن کاملOnline tracking of multiple objects using WiSARD
This paper evaluates the WiSARD weightless model as a classification system on the problem of tracking multiple objects in realtime. Exploring the structure of this model, the proposed solution applies a re-learning stage in order to avoid interferences caused by background noise or variations in the target shape. Once the tracker finds a target at the first time, it applies only local searches...
متن کاملFormation Control and Path Planning of Two Robots for Tracking a Moving Target
This paper addresses the dynamic path planning for two mobile robots in unknownenvironment with obstacle avoidance and moving target tracking. These robots must form atriangle with moving target. The algorithm is composed of two parts. The first part of thealgorithm used for formation planning of the robots and a moving target. It generates thedesired position for the robots for the next step. ...
متن کاملonline multiple people tracking-by-detection in crowded scenes
multiple people detection and tracking is a challenging task in real-world crowded scenes. in this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. we have detected objects with deformable part models and a visual background extractor. in the tracking phase we have used a combination of support vector machine (svm) person-specific classifie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2019
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2019.2939076