Detecting Carried Objects in Short Video Sequences
We have developed a new method for detecting objects carried by people. It detects visible objects, larger than a few centimeters, carried by people walking in any direction in a scene that is not too crowded. It works by comparing tracked individuals with an idealised shape model of a pedestrian not carrying any objects. Protrusions beyond the expected silhouette are potential carried objects.
MATLAB code of the software is now available with details of how to use it - download (3.0MB)
A short sequence from PETS2006 to test the code - download (3.9MB)
Demos and Videos
Demo of the approach AVI (4.8MB)
Short Presentation PDF (1.2MB)
Results on PETS2006 dataset AVI (11.8MB)
Other results MPG (1.4MB)
Dima Damen and David Hogg (2008). Detecting Carried Objects in Short Video Sequences. European Conference on Computer Vision (ECCV) Springer-Verlag. 3,154-167 pdf, poster
Annotation of PETS2006 carried objects is available here (in VIPER and text file formats).
(a) One frame from a short sequence
(b) The motion template obtained from background subtraction
(c) Aligned motion template of a pedestrian walking in the same direction and carrying nothing
(d) A map of the protrusions that might correspond to carried objects
(e) Detected carried objects: The MAP solution for a Markov random field over this protrusion map, combining a prior on the location of carried objects with a spatial continuity assumption