… [9] proposed a social LSTM network to jointly reason across multiple people. Their method
can … that jointly reasons on appearance, motion and interaction cues over a temporal window. …

… Specifically the likelihood of each cue is calculated and weighted … of multiple cue integration
and particle filtering results in a robust tracking method. We also demonstrate how each cue’…

… cue is optimal, however, an identity issue happens. This identity issue are handled by including
multiple cues … In this work, we introduce a new method that combines multiple cues and …

… as a cue to person recognition, consistent with the extensive literature on face recognition. …
be important cues to recognizing people, and that the combination or integration of these …

… extracted features and explored various cues in an R… detection framework with an additional
human-centric branch. However, most of these methods focus on exploring the context cues …

… Abstract—In this paper, a human behavior recognition method using multimodal features is
… Pantic, “Continuous prediction of spontaneous affect from multiple cues and modalities in …

… using visual-audio data. The work based on ensemble learning with multiple features using
multi-… [10] presented a method for human emotion recognition using facial expression and …

… Therefore, the common approach using particle filters for human motion capture is to … region
based cue is computationally expensive. Our strategy is to combine as many cues derivable …

… a multi-cue and multi-hypothesis tracking algorithm for multi-object tracking, which is based
on re-identification (Re-ID) to alleviate the Id-… : (1) Using metric learning with person Re-ID …

… The most erroneous matchings are due to severe lighting changes, and to the fact that many
people tend to dress in very similar ways. In these cases more cues may be necessary, like …