Algorithms for Tracking Moving Targets: A Review
نویسندگان
چکیده
منابع مشابه
Optimal Observer Path Planning For Bearings-Only Moving Targets Tracking Using Chebyshev Polynomials
In this paper, an optimization problem for the observer trajectory in the bearings-only surface moving target tracking (BOT) is studied. The BOT depends directly on the observability of the target's position in the target/observer geometry or the optimal observer maneuver. Therefore, the maximum lower band of the Fisher information matrix is opted as an independent criterion of the target estim...
متن کاملSearch and Tracking Algorithms for Rapidly Moving Mobiles Search and Tracking Algorithms for Rapidly Moving Mobiles
With the advent of wireless technology and laptops, mobility is an important area of research. A fundamental problem in this area is the delivery of messages to a moving mobile. Current solutions, work correctly only for slowly moving nodes that stay in one location long enough for tracking to stabilize. In this paper we consider the problem of message delivery to rapidly moving mobile units. W...
متن کاملA Real-time System for Tracking and Catching Moving Targets
In this paper we describe the real-time issues related to the development of a control system for tracking and catching moving targets by vision. After describing the main hardware and software components of the system, we discuss a number of interesting scheduling problems that arise in these kind of control applications. A possible solution to these problems is also outlined and has been impl...
متن کاملTracking of Moving Targets in Video Sequences
A research has been carried out finalised to the definition of a methodology useful to address the task of detection and tracking of moving targets. Algorithms performing this task for real time monitoring and surveillance purposes have been developed. Due to deformations occurring in the appearance of the target in real time video sequences, a Hierarchical Neural Network (HNN) has been used fo...
متن کاملTracking unknown moving targets on omnidirectional vision
This paper presents an integrated method by using optical flow and kernel particle filter (KPF) to detect and track moving targets in omnidirectional vision. According to the circle character in omnidirectional image, the algorithms of optical flow fields and kernel particle filter are improved based on the polar coordinates at the omnidirectional center. The edge of a motion object can be dete...
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: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017915929