English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present a bootstrapping framework to simultaneously improve multi-persontracking and activity recognition at individual, interaction and social groupactivity levels. The inference consists of identifying trajectories of allpedestrian actors, individual activities, pairwise interactions, and collectiveactivities, given the observed pedestrian detections. Our method uses agraphical model to represent and solve the joint tracking and recognitionproblems via multi-stages: (1) activity-aware tracking, (2) joint interactionrecognition and occlusion recovery, and (3) collective activity recognition. Wesolve the where and when problem with visual tracking, as well as the who andwhat problem with recognition. High-order correlations among the visible andoccluded individuals, pairwise interactions, groups, and activities are thensolved using a hypergraph formulation within the Bayesian framework.Experiments on several benchmarks show the advantages of our approach overstate-of-art methods.

Who did What at Where and When: Simultaneous Multi-Person Tracking and Activity Recognition