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Test video sequences for stationary object detection and abandoned & stolen object classification

This data set contains 14 video sequences and ground truth files for stationary foreground segmentation tasks and abandoned & stolen object detection.

Sequences

SequenceSourceStationary objects
VISOR_00visor_Video00
1:2308
720:2308
875:1610
car #1
car #2
VISOR_01visor_Video01
1:3330
970:2720car
VISOR_02visor_Video02
1:2815
850:2700
1530:2710
car #1
car #2
VISOR_03visor_Video03
1:3075
975:2385car
AVSS_00aAVSSS07_EASY
1500:3775
500:2275suitcase
AVSS_00bAVSSS07_EASY
3780:5465
1:1100suitcase
AVSS_01aAVSSS07_MEDIUM
1:3000
1410:3000bag
AVSS_01bAVSSS07_MEDIUM
2880:4812
1:1650bag
PETS_00aPETS2006_S1_C3
1:2992
1890:2992bag
PETS_00bPETS2006_S1_C3
2992:1
1:1190bag
PETS_01aPETS2006_S4_C3
1:3052
840:3052suitcase
PETS_01bPETS2006_S4_C3
3052:1
1:2265suitcase
PETS_02aPETS2006_S5_C3
1:3361
1860:3361plank
PETS_02bPETS2006_S5_C3
3361:1
1:1590plank

Ground truth files

Ground truth files are comma separated text files. For every frame containing a stationay object the ground truth file contains a row starting with the frame index (from 1) and then for each blob of the frame the bounding box and class (abandoned / stolen) is given.

E.g. for two blobs

frame;x1,y1,w1,h1,C1;x2,y2,w2,h2,C2;

where frame is the frame index, the blob descriptions are also spearated with ; and the blob description gives the x, y coordinates and width, hegith. The label ob the blob can be A if abandoned or S if stolen.

Sources

The test videos used in this data set are from the VISOR, AVSS2007 and PETS2006 sets.

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Contributors

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