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    Chapter

    Multi-view Multi-object Detection and Tracking

    Multi-viewtrackers combine data fromdifferent camera views to estimate the temporal evolution of objects across a monitored area. Data to be combined can be represented by object features (such as position, co...

    Murtaza Taj, Andrea Cavallaro in Computer Vision (2010)

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    Chapter

    Recognizing Interactions in Video

    Detection and tracking algorithms generates useful information in the form of trajectories from which the behaviors and the interactions of moving objects can be inferred through the analysis of spatio-tempora...

    Murtaza Taj, Andrea Cavallaro in Intelligent Multimedia Analysis for Security Applications (2010)

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    Chapter

    Trajectory Clustering for Scene Context Learning and Outlier Detection

    We present a scene understanding strategy for video sequences based on clustering object trajectories. In this chapter, we discuss a set of relevant feature spaces for trajectory representation and we critical...

    Nadeem Anjum, Andrea Cavallaro in Video Search and Mining (2010)

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    Chapter

    Simultaneous Detection and Tracking with Multiple Cameras

    Tracking targets using multiple cameras is an important processing step for applications such as sports analysis, traffic monitoring, behavior detection and event recognition. The multi-camera tracking problem...

    Murtaza Taj, Andrea Cavallaro in Machine Learning for Computer Vision (2013)

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    Article

    Live multicast video streaming from drones: an experimental study

    We present and evaluate a multicast framework for point-to-multipoint and multipoint-to-point-to-multipoint video streaming that is applicable if both source and receiver nodes are mobile. Receiver nodes can j...

    Raheeb Muzaffar, Evşen Yanmaz, Christian Raffelsberger in Autonomous Robots (2020)