Abstract
Here we give context to the Special Issue on “Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery” in Sensors. We start with an introduction to the role of infrared images in today's vision-based applications, by outlining the specific challenges that characterize detection and tracking in FLIR images. We then illustrate why selected papers have been chosen to represent the domain of interest, by summarizing their main contributions to the state-of-the-art. Lastly, we sum up the main evidence found, and we underline some of the aspects that are worthy of further investigation in future research activities.
Highlights
Object detection and tracking represent key components of many vision-based applications, from surveillance to vehicle navigation, driver assistance, activity recognition, etc
In forward looking infrared (FLIR) images, the intensity of an object mainly depends on its temperature and radiated heat and it is not influenced by light conditions and object surface features
Techniques have to cope with the difficulties associated with a signature that is continuously changing due to the non-rigid nature of the human body, whose trajectories are hard to predict because of the intrinsic complexity of human walking motion and social behaviors, etc. In this Special Issue we tried to summarize some of the main trends, which can be identified in today’s strategies for target detection and tracking in FLIR imagery, with the aim to stress the growing attention that infrared spectrum-based algorithms, and related sensors, are receiving today in a rather wide number of scenarios
Summary
Object detection and tracking represent key components of many vision-based applications, from surveillance to vehicle navigation, driver assistance, activity recognition, etc. Still making reference to the example above about pedestrian detection and tracking, both the visible light and IR techniques have to cope with the difficulties associated with a signature that is continuously changing due to the non-rigid nature of the human body, whose trajectories are hard to predict because of the intrinsic complexity of human walking motion and social behaviors, etc In this Special Issue we tried to summarize some of the main trends, which can be identified in today’s strategies for target detection and tracking in FLIR imagery, with the aim to stress the growing attention that infrared spectrum-based algorithms, and related sensors, are receiving today in a rather wide number of scenarios
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