Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos.


This paper presents a method for localizing functional objects and predicting human intents and trajectories in surveillance videos of public spaces, under no supervision in training. People in public spaces are expected to intentionally take shortest paths (subject to obstacles) toward certain objects (e.g. vending machine, picnic table, dumpster etc… (More)
DOI: 10.1109/TPAMI.2017.2728788


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