Markov chain Monte Carlo data association for general multiple-target tracking problems
By Songhwai Oh, Stuart J. Russell, S. Sastry. IEEE Conference on Decision and Control, 2004
302 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a5acfcc9fca379fe0169ba8f8adc46cfd363c607
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
- Ian David Reid
- Stefan Roth
- Konrad Schindler
- Ben Benfold
- Stuart J. Russell
- S. Sastry
- Sergey Levine
- Vincent Lepetit
In Statistics and Probability
- Ian David Reid
- Ben Benfold
- Stuart J. Russell
- Konrad Schindler
- Fabio Tozeto Ramos
- Stefan Roth
- Vincent Lepetit
- Michael I. Jordan
Citations in the corpus
- Probabilistic models with unknown objects (2006, background): “However, it is often necessary to develop a special-purpose proposal distribution to achieve fast convergence on a particular task [Tu and Zhu, 2002; Pasula et al., 2003; Oh et al., 2004].”
- Recognizing linked events: Searching the space of feasible explanations (2009, unknown): “We finally use the power of RJMCMC [6] (successfully applied in other domains [11, 15]) to sample the posterior distribution.”
- Markov Chain Monte Carlo Data Association for Multi-Target Tracking (2009, background): “For example, the computation of for linear dynamic and measurement models can be found in [27].”
- Stable multi-target tracking in real-time surveillance video (2011, methodology): “We make motion estimates by following corner features with pyramidal Kanade-Lucas-Tomasi (KLT) tracking [15, 8].”
- Simple online and realtime tracking (2016, background): “This design philosophy is in contrast to many proposed visual trackers that incorporate a myriad of components to handle various edge cases and detection errors [9, 10, 11, 12].”
- Discrete-continuous optimization for multi-target tracking (2012, background): “Sampling-based approaches [14, 19] have attempted to build a bridge be-tween the discrete and continuous aspects, but remain relatively limited in the expressiveness of the underlying model.”
- Multiple 3D Object tracking for augmented reality (2008, background): “Many multiple object 2D tracking algorithms have been developed [9, 10] however the 2D problem is only remotely related to the 3D case we address in this paper.”