View-invariant action recognition using fundamental ratios
By Yuping Shen, Hassan Foroosh. 2008
85 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Xiaogang Wang
- Cuiling Lan
- Wenjun Zeng
- Nanning Zheng
- Daniel Weinland
- Xinxiao Wu
- Yunde Jia
- Pengfei Zhang
In Computer Vision and Pattern Recognition
- Xiaogang Wang
- Luc Van Gool
- Ming-Hsuan Yang
- Mubarak Shah
- Yi Yang
- Dacheng Tao
- Jitendra Malik
- Andrew Zisserman
Citations in the corpus
- Intelligent multi-camera video surveillance: A review (2013, background): “Many approaches (Rao et al., 2002; Junejo et al., 2008, 2011; Yilmaz and Shah, 2005; Syeda-Mahmood et al., 2001; Parameswaran and Chellappa, 2006; Shen and Foroosh, 2008; Ogale et al., 2006; Li et al., 2007; Weinland et al., 2007; Yan et al., 2008; Farhadi and Tabrizi, 2008; Liu et al., 2011) are…”
- Human Action Recognition With Video Data: Research and Evaluation Challenges (2014, methodology): “for fixed cameras [30], and temporal order of action sequences [42] have been used successfully for recognition of certain limited actions.”
- View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition (2018, background): “Some attempts have been made in previous works to overcome the view variation problem for robust action recognition [3], [8], [9], [14], [15], [19], [24], [26], [31], [36], [37], [39], [40], [50], [52], [53], [60].”
- A survey of vision-based methods for action representation, segmentation and recognition (2011, methodology): “Hence the resulting residual P ijxiFx 0 ij 2 can be used as matching cost [123,37,114,147,148,115].”
- Cross-View Action Recognition over Heterogeneous Feature Spaces (2013, unknown): “One possible solution [14, 18, 19, 11] is building a view-independent 3D model of human body via the 3D reconstruction from multiple calibrated cameras or epipolar geometry reasoning based on point correspondences.”
- Cross-View Action Recognition from Temporal Self-similarities (2008, background): “Recently [6] showed that fundamental ratios can be used for view-invariant action recognition as well.”
- View-Invariant Action Recognition Using Latent Kernelized Structural SVM (2012, background): “Some existing approaches address the view-invariant action recognition by using epipolar geometry [6] [7] or a full 3D reconstruction [8] [9].”