Boyd, Jeffrey EdwinGrond, Marco Marten2024-03-182024-03-182024-03-14Grond, M. M. (2024). Predicting the movement of occluded objects using motion models and statistical tracking (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.https://hdl.handle.net/1880/11829010.11575/PRISM/43133Long-term occlusions pose a significant challenge to tracking systems, resulting in broken tracks which obfuscate results and lead to ambiguity when analysing a scene. My proposed solution to this problem, which I call the Occluded Trajectory Modelling (OTM) system, predicts the movement of occluded objects with a statistically-learned model of their movements while occluded, allowing for seamless tracking across occlusions. The model detailing the movement of occluded objects is extracted from unannotated data using Network Tomography and an objective function which extracts object occlusion times. I create a hybrid system, consisting of the OTM working in conjunction with an adapted Multiple Hypothesis Tracker, that is able to seamlessly transition between tracking visible objects and predicting their movement while they are occluded. This is done in real time without the need for visual features. I test my system on two datasets: the first consisting of drone footage with multiple environmental occlusions, and the second containing scenes with multiple non-overlapping cameras. The experimental results obtained from both of these datasets show that my system outperforms existing visual tracking systems in terms of correctly re-identifying objects after occlusion, without suffering a performance trade-off.enUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Occluded Trajectory ModellingOcclusion HandlingObject TrackingMovement PredictionMulti-Camera TrackingComputer SciencePredicting the Movement of Occluded Objects Using Motion Models and Statistical Trackingdoctoral thesis