Automatic determination of the spread parameter in Gaussian smoothing
Pattern Recognition Letters
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hydra: Multiple People Detection and Tracking Using Silhouettes
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
A Contour-Based Moving Object Detection and Tracking
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Estimation of number of people in crowded scenes using perspective transformation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In this paper we explore various methods which can be used to vertically separate groups of people in video sequences. Firstly, we discuss the technique used to create a horizontal height projection histogram from the shape of a group of people. We then use two techniques to split this histogram, and develop a vertical seam from the splitting points. The vertical seam is calculated by maximizing the energy of all possible seams using the intensity of the edges. Testing was performed on the CAVIAR data set. We achieved promising results, with the highest average segmentation accuracy at 93.38%.