This technical report describes a method for assessing the performance of auto-matic tracking systems against various metrics. These metrics are grouped in the categories of track establishment, track maintenance, track error and false tracks. A desired performance level is defined for each metric, and the prob-ability that a particular track will meet this performance level is empirically approximated from archived sensor data. The individual metric probabilities are combined using a weighted average to produce an overall tracker rating. An important feature of the approach is that absolute truth is assumed to be unavailable, and output of the trackers under test is instead compared with incomplete truth. The incomplete truth is produced b...
The Multi-Hypothesis Tracker (MHT) is generally considered to be the best performing conventional tr...
ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference a...
In this paper, we present an algorithm for automatic performance evaluation of a video tracking syst...
This technical report describes a method for assessing the performance of auto-matic tracking system...
Automated tracking of vehicles and people is essential for the effective utilization of imagery in w...
Currently most air traffic controller decisions are based on the information provided by the ground ...
The paper presents, in three parts, a new approach to improve the detection and tracking performance...
Performance evaluation of visual tracking algorithms is a complex task requiring consideration of th...
Abstract—The absence of a commonly adopted performance evaluation framework is hampering advances in...
We propose a methodology to quantitatively compare the relative performance of tracking evaluation m...
Automatic target tracking systems are employed in a wide variety of missions and tracking environmen...
This paper presents a set of metrics and algorithms for performance evaluation of object tracking sy...
The paper presents a new approach to improve the detection and tracking performance of a track-while...
Tracking performance is a function of data quality, tracker type, and target maneuverability. Many c...
This paper presents a general framework for analyzing the evaluation of a tracking algorithm in orde...
The Multi-Hypothesis Tracker (MHT) is generally considered to be the best performing conventional tr...
ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference a...
In this paper, we present an algorithm for automatic performance evaluation of a video tracking syst...
This technical report describes a method for assessing the performance of auto-matic tracking system...
Automated tracking of vehicles and people is essential for the effective utilization of imagery in w...
Currently most air traffic controller decisions are based on the information provided by the ground ...
The paper presents, in three parts, a new approach to improve the detection and tracking performance...
Performance evaluation of visual tracking algorithms is a complex task requiring consideration of th...
Abstract—The absence of a commonly adopted performance evaluation framework is hampering advances in...
We propose a methodology to quantitatively compare the relative performance of tracking evaluation m...
Automatic target tracking systems are employed in a wide variety of missions and tracking environmen...
This paper presents a set of metrics and algorithms for performance evaluation of object tracking sy...
The paper presents a new approach to improve the detection and tracking performance of a track-while...
Tracking performance is a function of data quality, tracker type, and target maneuverability. Many c...
This paper presents a general framework for analyzing the evaluation of a tracking algorithm in orde...
The Multi-Hypothesis Tracker (MHT) is generally considered to be the best performing conventional tr...
ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference a...
In this paper, we present an algorithm for automatic performance evaluation of a video tracking syst...