Name
Title | ||
|---|---|---|
A Multiple Velocity Fields Approach to the Detection of Pedestrians Interactions Using HMM and Data Association Filters. |
Abstract | ||
|---|---|---|
This paper addresses the diagnosis of interactions between pairs of pedestrians in outdoor scenes, using a generative model for the trajectories. It is assumed that pedestrians' motions are driven by a set of velocity fields, learned from the video signal. This model is extended to account for the interaction among pedestrians, using attractive/repulsive velocity components. An inference algorithm is provided to estimate the attraction/repulsion velocity from the pedestrian trajectory and characterize pedestrians' interaction. Since we consider multiple motion models switched according to space-varying probabilities, inference is performed by combining a data association filter with a HMM-like forward algorithm. The proposed algorithm is denoted I-PDAF and is tested with synthetic data and pedestrians trajectories. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-41914-0_15 | ADVANCES IN VISUAL COMPUTING, ISVC 2013, PT I |
Field | DocType | Volume |
Computer vision,Pedestrian,Activity recognition,Forward algorithm,Inference,Computer science,Synthetic data,Artificial intelligence,Hidden Markov model,Trajectory,Generative model | Conference | 8033 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.36 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ricardo A. Ribeiro | 1 | 1 | 0.70 |
| Jorge S. Marques | 2 | 2 | 0.76 |
| João Miranda Lemos | 3 | 54 | 10.64 |