What is it about?

surveys the most widely used techniques and recent advances for human tracking over camera networks.

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Why is it important?

Two important functional modules for human tracking over camera networks are addressed, including human tracking within a camera and human tracking across non-overlapping cameras. The core techniques of human tracking within a camera are discussed based on two aspects, i.e., generative trackers and discriminative trackers.

Perspectives

The core techniques of human tracking across non-overlapping cameras are then discussed based on the aspects of human re-identification, camera-link model-based tracking, and graph model-based tracking. Our survey aims to address existing problems, challenges, and future research directions based on the analyses of the current progress made toward human tracking techniques over camera networks.

Dr. Muhammad Rizwan
Shanghai University

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This page is a summary of: Human tracking over camera networks: a review, EURASIP Journal on Advances in Signal Processing, June 2017, Springer Science + Business Media, DOI: 10.1186/s13634-017-0482-z.
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