Real-time user selected dynamic template tracking for UAV

Fabio Mendez, Mark Ferguson, Naim Dahnoun, Scott R Tancock

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
282 Downloads (Pure)


Template matching algorithms describe the way a tracker is able to follow an object by comparing two templates. Representing information about the object to be tracked and the other about the frame that is being analysed. Previous implementations prove to be sensible to partial occlusion, updating the model template even in cases where the line of sight between the camera and the object is being partially blocked, producing a misrepresentation of the object's features. This paper proposes a dynamic template update, using normalised cross correlation as a similarity metric. Using the response given by the similarity, it is possible to determine ranges in which to update the model of the object. With this, the algorithm is able to keep relevant information about the object when it is partially or completely occluded. The main assumption made during the development of most template tracking algorithms is the prior knowledge of the object's location and dimensions in the initial frame. This paper proposes an interactive implementation where the prior information that is needed can be obtained from a single point in the object using segmentation. The implementation of the algorithm described produced reliable and real-time results (30 frames per second) on the NVIDIA Jetson TX1 platform.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Imaging Systems and Techniques (IST 2017)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781538616208
ISBN (Print)9781538616215
Publication statusE-pub ahead of print - 18 Jan 2018
EventIEEE International Conference on Imaging Systems & Techniques - Beijing, China
Duration: 18 Oct 201720 Oct 2017


ConferenceIEEE International Conference on Imaging Systems & Techniques

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