Video surveillance dataset for people matching

Being able to match objects across multiple views is one of the main building blocks for coordination of multi-camera systems.
This dataset has been acquired and annotated to test the ability of algorithms to work in a constraint free settings: cameras differ for resolution, position, framerate, the scenario is non planar, a camera is hand held and moves freely and no calibration information is provided. Each video is 110 second long and contains manual annotations of each track using ID that are shared between cameras.

Dataset


Camera 1 Analog camcorder Resolution 720 x 576 25fps static camera Download original Download resampled 24fps	Camera 2 Apple iPhone Resolution 1280 x 720 30fps handheld moving camera Download original Download resampled 24fps	Camera 3 Sony DSC-RX100 Resolution 1920 x 1080 50i-25p fps static camera Download original Download resampled 24fps	Camera 4 Canon IXUS 300hs Resolution 1280 x 720 25fps static camera Download original Download resampled 24fps	Camera 5 Nikon D90 Resolution 1280 x 720 30fps static camera Download original Download resampled 24fps
Full Dataset

Ground truth

For each video is it available a ground truth file that contains the bounding boxes of each track identified by an ID that is the same for all the cameras.
Each track is defined with an ID followed by a sequence of bounding boxes:
< track > ::= < id > < bb_list >
< bb_list > ::= < bb > < bb_list > | < bb >
< bb > ::= < frame > < x > < y > < w > < h >
< id > ::= string
< x > ::= integer
< y > ::= integer
< w > ::= integer
< h > ::= integer

Publications

Luca Zini and Francesca Odone and Andrea Cavallaro, Submitted to IEEE Transactions on IEEE Transactions on Circuits and Systems for Video Technology

Contacts and acknoledgements

This is a joint work betweeen Università degli Studi di Genova (It) and Queen Mary University of London (UK)

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