└── README.md


/README.md:
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 1 | # Fall Detection
 2 | ## Implementation
 3 | 1. Background Subtraction
 4 | 2. Edge Points Detection
 5 | 3. Shape Descriptor (In progress)
 6 | 4. Mean Matching Cost (In progress)
 7 | 5. Full Procrustes Distance
 8 | 6. Fall Detection using GMM
 9 | 
10 | ## Datasets
11 | * [Le2i Fall Detection Dataset]
12 | * [UR Fall Detection Dataset]
13 | * [CAVIAR Test Case Scenarios] - (Resting or fainting)
14 | * [Multiple cameras fall dataset]
15 | 
16 | ## References
17 | * Robust Video Surveillance for Fall Detection Based on Human Shape Deformation [Rougier, 2011]
18 | 
19 | 
20 | [Le2i Fall Detection Dataset]: <http://le2i.cnrs.fr/Fall-detection-Dataset>
21 | [UR Fall Detection Dataset]: <http://fenix.univ.rzeszow.pl/~mkepski/ds/uf.html>
22 | [CAVIAR Test Case Scenarios]: <http://homepages.inf.ed.ac.uk/rbf/CAVIARDATA1/>
23 | [Multiple cameras fall dataset]: <http://www.iro.umontreal.ca/~labimage/Dataset/>
24 | 


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