1 research outputs found
A Heat-Map-based Algorithm for Recognizing Group Activities in Videos
In this paper, a new heat-map-based (HMB) algorithm is proposed for group
activity recognition. The proposed algorithm first models human trajectories as
series of "heat sources" and then applies a thermal diffusion process to create
a heat map (HM) for representing the group activities. Based on this heat map,
a new key-point based (KPB) method is used for handling the alignments among
heat maps with different scales and rotations. And a surface-fitting (SF)
method is also proposed for recognizing group activities. Our proposed HM
feature can efficiently embed the temporal motion information of the group
activities while the proposed KPB and SF methods can effectively utilize the
characteristics of the heat map for activity recognition. Experimental results
demonstrate the effectiveness of our proposed algorithms.Comment: This manuscript is the accepted version for TCSVT(IEEE Transactions
on Circuits and Systems for Video Technology