Trajectory Learning for Activity Understanding: Unsupervised, Multilevel, and Long-Term Adaptive Approach
By Brendan Tran Morris, Mohan Manubhai Trivedi. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
367 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/f30753abbad51d33722397988825902873776d45
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
- Silvio Savarese
- Alexandre Alahi
- Amir Sadeghian
- Jiwen Lu
- Li Fei-Fei
- Vignesh Ramanathan
- Ioannis A. Kakadiaris
- Michalis Vrigkas
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Li Fei-Fei
- Jitendra Malik
- Dacheng Tao
- Trevor Darrell
- Xiaogang Wang
- Yi Yang
- Ming-Hsuan Yang
Citations in the corpus
- SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints (2018, methodology): “Morris et al. [19] cluster the spatial-temporal patterns and use hidden Markov models to model each group.”
- Social LSTM: Human Trajectory Prediction in Crowded Spaces (2016, background): “A large body of work learns motion patterns through clustering trajectories [26, 30, 46, 77].”
- Adversarially Learned One-Class Classifier for Novelty Detection (2018, methodology): “For data representation, low level features [4], high level features ( e.g ., trajectories [29]), deeply learned features [48, 37, 39] are used in the literature.”
- Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks (2018, neutral): “The former learns scene-specific motion patterns [3, 9, 18, 21, 24, 33, 49].”
- Summarizing surveillance videos with local-patch-learning-based abnormality detection, blob sequence optimization, and type-based synopsis (2015, background): “[27] and Wang et al.”
- A Review of Human Activity Recognition Methods (2015, background): “Real time classification and prediction of future actions was proposed by Morris and Trivedi (2011), where an activity vocabulary is learned through a three-step procedure.”
- Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction (2013, background): “Similar interesting examples can be found in signal processing [47], video tracking [15] and maritime surveillance”
- Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes (2016, neutral): “Object trajectory estimation is often of interest in cases of anomaly detection; see [18, 22, 23, 24, 25, 26, 27, 28, 29].”
- STREETS: A Novel Camera Network Dataset for Traffic Flow (2019, background): “There are many other traffic camera datasets that utilize fewer than ten cameras and limit analysis to one intersection at a time [13, 14, 15, 16, 17, 18, 19, 20].”