SEXTANT: A Computational Framework for Scalable and Efficient Correlation of Spatio-Temporal Trajectories.
Brian ThompsonDave CedelJeremy MartinKristen SneeAlex CheungPublished in: IEEE BigData (2019)
Keyphrases
- computational framework
- spatio temporal
- computational model
- moving objects
- neural network
- tensor voting
- spatial and temporal
- highly scalable
- image sequences
- limited memory
- computationally efficient
- cost effective
- computationally expensive
- databases
- correlation coefficient
- motion patterns
- highly efficient
- single pass
- website
- movement patterns