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Automatic emotion recognition for groups: a review
This article aims to summarize and describe research on the topic of automatic group
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …
emotion recognition. In recent years, the topic of emotion analysis of groups or crowds has …
Detecting coherent groups in crowd scenes by multiview clustering
Detecting coherent groups is fundamentally important for crowd behavior analysis. In the
past few decades, plenty of works have been conducted on this topic, but most of them have …
past few decades, plenty of works have been conducted on this topic, but most of them have …
A systematic review on moving objects' trajectory data and trajectory data warehouse modeling
The development of mobile technologies has paved the way for new and various
applications taking advantage of trajectory data resulting from moving objects activities in …
applications taking advantage of trajectory data resulting from moving objects activities in …
Hybrid classifiers for spatio-temporal abnormal behavior detection, tracking, and recognition in massive Hajj crowds
Individual abnormal behaviors vary depending on crowd sizes, contexts, and scenes.
Challenges such as partial occlusions, blurring, a large number of abnormal behaviors, and …
Challenges such as partial occlusions, blurring, a large number of abnormal behaviors, and …
Two-stream collaborative learning with spatial-temporal attention for video classification
Video classification is highly important and has widespread applications, such as video
search and intelligent surveillance. Video naturally contains both static and motion …
search and intelligent surveillance. Video naturally contains both static and motion …
Trajectory-based surveillance analysis: A survey
Due to the advancement of camera hardware and machine learning techniques, video
object tracking for surveillance has received noticeable attention from the computer vision …
object tracking for surveillance has received noticeable attention from the computer vision …
Affective computing for large-scale heterogeneous multimedia data: A survey
The wide popularity of digital photography and social networks has generated a rapidly
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …
Video-based cross-modal auxiliary network for multimodal sentiment analysis
Multimodal sentiment analysis has a wide range of applications due to its information
complementarity in multimodal interactions. Previous works focus more on investigating …
complementarity in multimodal interactions. Previous works focus more on investigating …
PDANet: Polarity-consistent deep attention network for fine-grained visual emotion regression
Existing methods on visual emotion analysis mainly focus on coarse-grained emotion
classification, ie assigning an image with a dominant discrete emotion category. However …
classification, ie assigning an image with a dominant discrete emotion category. However …
Knowledge and emotion dual-driven method for crowd evacuation
Abstract Knowledge and emotion play important roles in the process of crowd evacuation.
Knowledge determines the moving direction of an individual, and emotion determines the …
Knowledge determines the moving direction of an individual, and emotion determines the …