From: Intelligent video surveillance: a review through deep learning techniques for crowd analysis
Document title | Publication_Year | Funding information |
---|---|---|
Sparse coding guided spatiotemporal feature learning for abnormal event detection in large videos [53] | 2019 | National Nature Science Foundation of China; National Youth Top-notch Talent Support Program |
Rejecting motion outliers for efficient crowd anomaly detection [54] | 2019 | Ministry of Science, ICT and Future Planning |
Deep multi-view feature learning for person re-identification [55] | 2018 | National Natural Science Foundation of China; Yunnan Natural Science Funds; Guangdong Natural Science Funds; Yunnan University |
Image-to-video person re-identification with temporally memorized similarity learning [56] | 2018 | National Natural Science Foundation of China; NSFC-Shenzhen Robotics Projects; Natural Science Foundation of Guangdong Province; Fundamental Research Funds for the Central Universities; ZTE Corporation |
Fight recognition in video using hough forests and 2D convolutional neural network [57] | 2018 | Ministerio de EconomÃa y Competitividad |
Anomalous sound detection using deep audio representation and a BLSTM network for audio surveillance of roads [58] | 2018 | National Natural Science Foundation of China; National Laboratory of Pattern Recognition |
Convolutional neural networks based fire detection in surveillance videos [59] | 2018 | National Research Foundation of Korea (NRF); Korea government (MSIP) |
Action recognition in video sequences using deep bi-directional LSTM with CNN features [60] | 2018 | National Research Foundation of Korea Grant; Korea Government (MSIP) |
A deep spatiotemporal perspective for understanding crowd behavior [61] | 2018 | |
Road traffic conditions classification based on multilevel filtering of image content using convolutional neural networks [62] | 2018 | |
Indoor person identification using a low-power FMCW radar [63] | 2018 | Ghent University; imec; Fund for Scientific Research-Flanders (FWO-Flanders) |
Support vector machine approach to fall recognition based on simplified expression of human skeleton action and fast detection of start key frame using torso angle [64] | 2018 | |
Person re-identification using hybrid representation reinforced by metric learning [65] | 2018 | |
Evolving head tracking routines with brain programming [66] | 2018 | Consejo Nacional de Ciencia y Tecnología; https://doi.org/10.13039/501100004963-seventh Framework Programme of the European Union through the Marie Curie International Research Staff Scheme, FP-PEOPLE-2013-IRSES, Project Analysis and Classification of Mental States of Vigilance with Evolutionary Computation; https://doi.org/10.13039/501100003089-centro de Investigación Científica y de Educación Superior de Ensenada, Baja California; TecNM Project 6474.18-P, “Navegación de robots móviles como un sistema adaptativo complejo.” |
Natural language description of video streams using task-specific feature encoding [67] | 2018 | Basic Science Research Program through the National Research Foundation of Korea (NRF); Ministry of Education |
Background subtraction using multiscale fully convolutional network [68] | 2018 | National Science Foundation of China |
Face verification via learned representation on feature-rich video frames [69] | 2017 | MEITY, India, NVIDIA GPU grant, and Infosys CAI, IIIT-Delhi; IBM Ph.D. fellowship |
Violent activity detection with transfer learning method [70] | 2017 | |
Unsupervised sequential outlier detection with deep architectures [71] | 2017 | |
High-level feature extraction for classification and person re-identification [72] | 2017 | |
An ensemble of invariant features for person reidentification [73] | 2017 | |
Facial expression recognition using salient features and convolutional neural network [74] | 2017 | Research Council of Norway as a part of the Multimodal Elderly Care Systems Project |
Deep head pose: gaze-direction estimation in multimodal video [75] | 2015 | |
Deep reconstruction models for image set classification [76] | 2015 | SIRF; University of Western Australia; ARC |