A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance

By Brendan Tran Morris, Mohan Manubhai Trivedi. IEEE transactions on circuits and systems for video technology (Print), 2008

525 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/770f736020c916e69c1e07252ba5f8473319f765

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Citations in the corpus

KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks (2016, background): “Modeling and predicting the motion of agents in a scene is a primary focus of the field of trajectory-based activity analysis [19, 13, 14].”
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks (2019, background): “Intelligent tracking and surveillance systems used for city planning must be able to understand how crowds will interact to better manage infrastructure [5–8].”
Human motion trajectory prediction: a survey (2019, methodology): “In addition to the metrics considered in (Morris and Trivedi 2008; Quehl et al. 2017), relevant metrics used in the reviewed literature include the Quaternionbased Rotationally Invariant LCS (QRLCS), which is the rotationally invariant counterpart of LCS (Hermes et al.”
Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction (2013, background): “, [14]) which finds the minimum Euclidean distance when”
Intelligent multi-camera video surveillance: A review (2013, background): “…al., 2000; Haritaoglu et al., 2000; Brand and Kettnaker, 2000; Medioni et al., 2001; Honggeng and Nevatia, 2001; Hu et al., 2004; Wang et al., 2006; Morris and Trivedi, 2008; Wang et al., 2008, 2011), objects are first detected and tracked and the activity of an object is then treated as…”
Trajectory Learning for Activity Understanding: Unsupervised, Multilevel, and Long-Term Adaptive Approach (2011, methodology): “There are many options when clustering trajectories, ranging from the choice of clustering algorithm to the measure of similarity between tracks [24].”
Crowded Scene Analysis: A Survey (2015, background): “Although many algorithms have been developed to track, recognize and understand the behaviors of various objects in video [9], they were mainly designed for common scenes with a low density of population [5], [6], [10].”
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints (2018, background): “Autonomous systems such as social and household robots [1, 8, 14], security systems [21, 24, 23], and self driving cars can do tasks like delivery, cleaning, security, and driving.”
Video-Based Human Behavior Understanding: A Survey (2013, background): “Morris and Trivedi [15] surveyed features and model motion trajectories focusing on trajectory analysis.”
Transformer Networks for Trajectory Forecasting (2020, background): “Forecasting people trajectories has been studied for over two decades and relevant literature has been surveyed by the work of [7,32].”