Violent flows: Real-time detection of violent crowd behavior
By Tal Hassner, Yossi Itcher, Orit Kliper-Gross. IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops, 2012
531 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/5194cbd51f9769ab25260446b4fa17204752e799
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jungseock Joo
- Yair Hanani
- Noga Levy
- Zachary C. Steinert-Threlkeld
- Lior Wolf
- Fang Shao
- Zhaoyang Wu
- Yujiao Shi
In Computer Vision and Pattern Recognition
- Jungseock Joo
- Yair Hanani
- Noga Levy
- Zachary C. Steinert-Threlkeld
- Lior Wolf
- Fang Shao
- Zhaoyang Wu
- Yujiao Shi
Citations in the corpus
- Protest Activity Detection and Perceived Violence Estimation from Social Media Images (2017, background): “In addition, there have been a few works which propose to automatically classify violent activities from images or videos by static image or motion features [8, 9, 18, 33].”
- Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision (2020, background): “[15] proposed violent flow descriptors to detect violence in crowded videos.”
- Evaluating New Variants of Motion Interchange Patterns (2013, background): “Existing techniques for recognizing textures in 2D images extend the textures to time-varying “dynamic textures” (e.g., [10, 7]).”
- Motion Interchange Patterns for Action Recognition in Unconstrained Videos (2012, unknown): “, [18] and recently also [19]).”