11 research outputs found

    Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval

    Full text link
    Humans use context and scene knowledge to easily localize moving objects in conditions of complex illumination changes, scene clutter and occlusions. In this paper, we present a method to leverage human knowledge in the form of annotated video libraries in a novel search and retrieval based setting to track objects in unseen video sequences. For every video sequence, a document that represents motion information is generated. Documents of the unseen video are queried against the library at multiple scales to find videos with similar motion characteristics. This provides us with coarse localization of objects in the unseen video. We further adapt these retrieved object locations to the new video using an efficient warping scheme. The proposed method is validated on in-the-wild video surveillance datasets where we outperform state-of-the-art appearance-based trackers. We also introduce a new challenging dataset with complex object appearance changes.Comment: Under review with the IEEE Transactions on Circuits and Systems for Video Technolog

    People Tracking in Camera Networks: Three Open Questions

    Full text link

    Context-Aware Hypergraph Modeling for Re-identification and Summarization

    No full text

    Graph-Based Topic-Focused Retrieval in Distributed Camera Network

    No full text
    corecore