*******************************************************************************
Instruction for BSS4 (Nov. 5, 2012)
Yagi laboratory, Department of Intelligent Media
The Institute of Scientific and Industrial Research, Osaka University
http://www.am.sanken.osaka-u.ac.jp/index.html
*******************************************************************************

-------------------------------------------------------------------------------
1. Contents
-------------------------------------------------------------------------------
BSS4 is composed of dissimilarity score matrices from 3,249 subjects, which is a full set of OULP-V1C1-A85 defined in [1]. The following dissimilarity score matrices were computed from the individual gait features, which were extracted from the silhouette sequences of each subject.

- BSS4_DissimilarityScoreMatrix_GEI.csv: GEI (gait energy image)

- BSS4_DissimilarityScoreMatrix_FDF.csv: FDF (frequency-domain feature)

- BSS4_DissimilarityScoreMatrix_GEnI.csv: GEnI (gait entropy image)

- BSS4_DissimilarityScoreMatrix_CGI.csv: CGI (chrono-gait image)

- BSS4_DissimilarityScoreMatrix_GFI.csv: GFI (gait flow image)


Moreover, the subject ID lists for probe and gallery were provided as follows, respectively.

- BSS4_ProbeIDList.csv

- BSS4_GalleryIDList.csv


Detailed procedures of preprocess and feature extraction are found in [1]. 

[1] H. Iwama, M. Okumura, Y. Makihara, and Y. Yagi, ``The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition,'' IEEE Trans. on Information Forensics and Security, Vol. 7, No. 5, pp. 1511-1521, Oct. 2012.


-------------------------------------------------------------------------------
2. Protocols
-------------------------------------------------------------------------------

-------------------------
2.1 Protocol 1 (BSS4-P1)
-------------------------

Two-dimensional dissimilarity scores from all the combinations of GEI, FDF, GEnI, CGI, GFI are fused in this protocol. More specifically, the following ten combinations are used.

GEI-FDF
GEI-GEnI
GEI-CGI
GEI-GFI
FDF-GEnI
FDF-CGI
FDF-GEF
GEnI-CGI
GEnI-GFI
CGI-GFI

Subject ID lists for training (development) and test (evaluation) of the score-level fusion are provided as follows, respectively.

- BSS4_Protocol1_TrainingIDList.csv

- BSS4_Protocol1_TestIDList.csv

Based on the subject ID lists, sub-matrices of dissimilarity scores for training and test can be extracted for each of GEI, GEnI, FDF, CGI, and GFI.