A Metric for Performance Evaluation of Multi-Target Tracking Algorithms
By B. Ristic, Ba-Ngu Vo, Daniel E. Clark, B. Vo. IEEE Transactions on Signal Processing, 2011
333 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/84fd16dda54b68f21ea9042e913e46b3d3d85ecf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Anton Milan
- Ian David Reid
- Javen Qinfeng Shi
- Anthony R. Dick
- Á. F. García-Fernández
- Andrea Cavallaro
- Lennart Svensson
- Abu Sajana Rahmathullah
In Computer Networks and Communications
- Á. F. García-Fernández
- Andrea Cavallaro
- Lennart Svensson
- Ian David Reid
- Abu Sajana Rahmathullah
- Anthony R. Dick
- Javen Qinfeng Shi
- Anton Milan
In Ocean Engineering
Citations in the corpus
- A Protocol for Evaluating Video Trackers Under Real-World Conditions (2013, background): “Distance-based criteria use the concept of distance minimization between estimation and ground truth to evaluate performance.”
- Generalized optimal sub-pattern assignment metric (2016, methodology): “The OSPA metric has also been adapted to handle sets of labelled targets [11].”
- Joint Probabilistic Data Association Revisited (2015, background): “4 (right) depicts the location error of the OSPA-T metric [36], representing both track accuracy and label switching as a single number, versus the value of m.”