Alok Kumar Singh Kushwaha

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 25

Top Topics

Background Modeling

Moving Object Segmentation

Video Surveillance

Top Venues

Multim. Tools Appl.

J. Electronic Imaging

Publications

Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha
IRNetv: A deep learning framework for automated brain tumor diagnosis. Biomed. Signal Process. Control. 87 (Part B) (2024)
Raksha Pandey, Alok Kumar Singh Kushwaha, Vinay Kumar
Detecting video forgery: A machine learning approach for consistency analysis of video frames. J. Intell. Fuzzy Syst. 46 (3) (2024)
Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha
The power of deep learning for intelligent tumor classification systems: A review. Comput. Electr. Eng. 106 (2023)
Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha, Manish Khare
Rule-based multi-view human activity recognition system in real time using skeleton data from RGB-D sensor. Soft Comput. 27 (1) (2023)
Roshan Singh, Alok Kumar Singh Kushwaha, Chandni, Rajeev Srivastava
Recent trends in human activity recognition - A comparative study. Cogn. Syst. Res. 77 (2023)
Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha
Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data. Multim. Tools Appl. 81 (16) (2022)
Sonika Jindal, Monika Sachdeva, Alok Kumar Singh Kushwaha
Human Activity Recognition using Ensemble Convolutional Neural Networks and Long Short-Term Memory. Int. J. Perform. Eng. 18 (9) (2022)
Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha
Role of Deep Learning in Tumor Malignancy Identification and Classification. CVMI (2022)
Neeraj Varshney, Brijesh Bakariya, Alok Kumar Singh Kushwaha, Manish Khare
Human activity recognition by combining external features with accelerometer sensor data using deep learning network model. Multim. Tools Appl. 81 (24) (2022)
Rahul Shrivastava, Vivek Tiwari, Swati Jain, Basant Tiwari, Alok Kumar Singh Kushwaha, Vibhav Prakash Singh
A role-entity based human activity recognition using inter-body features and temporal sequence memory. IET Image Process. 16 (11) (2022)
Ramakant Chandrakar, Rohit Raja, Rohit Miri, Upasana Sinha, Alok Kumar Singh Kushwaha, Hiral Raja
Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm. Expert Syst. Appl. 191 (2022)
Roshan Singh, Rajat Khurana, Alok Kumar Singh Kushwaha, Rajeev Srivastava
A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9 (1) (2021)
Roshan Singh, Rajat Khurana, Alok Kumar Singh Kushwaha, Rajeev Srivastava
Combining CNN streams of dynamic image and depth data for action recognition. Multim. Syst. 26 (3) (2020)
Roshan Singh, Alok Kumar Singh Kushwaha, Rajeev Srivastava
Multi-view recognition system for human activity based on multiple features for video surveillance system. Multim. Tools Appl. 78 (12) (2019)
Roshan Singh, Jagwinder Kaur Dhillon, Alok Kumar Singh Kushwaha, Rajeev Srivastava
Depth based enlarged temporal dimension of 3D deep convolutional network for activity recognition. Multim. Tools Appl. 78 (21) (2019)
Kamaljit Kaur, Rajat Khurana, Alok Kumar Singh Kushwaha
Deep survey on visual object tracking in surveillance environment. RICE (2018)
Rajat Khurana, Alok Kumar Singh Kushwaha
A Deep Survey on Human Activity Recognition in Video Surveillance. RICE (2018)
Harpreet Singh, Dinesh Gupta, Alok Kumar Singh Kushwaha
Multiclass Object Recognition and Classification Using Boosting Technique. ICCCNT (2018)
Alok Kumar Singh Kushwaha, Subodh Srivastava, Rajeev Srivastava
Multi-view human activity recognition based on silhouette and uniform rotation invariant local binary patterns. Multim. Syst. 23 (4) (2017)
Alok Kumar Singh Kushwaha, Rajeev Srivastava
Maritime Object Segmentation Using Dynamic Background Modeling and Shadow Suppression. Comput. J. 59 (9) (2016)
Alok Kumar Singh Kushwaha, Rajeev Srivastava
Automatic moving object segmentation methods under varying illumination conditions for video data: comparative study, and an improved method. Multim. Tools Appl. 75 (23) (2016)
Alok Kumar Singh Kushwaha, Rajeev Srivastava
Multiview human activity recognition system based on spatiotemporal template for video surveillance system. J. Electronic Imaging 24 (5) (2015)
Alok Kumar Singh Kushwaha, Rajeev Srivastava
Framework for dynamic background modeling and shadow suppression for moving object segmentation in complex wavelet domain. J. Electronic Imaging 24 (5) (2015)
Ishan Agarwal, Alok Kumar Singh Kushwaha, Rajeev Srivastava
Weighted Fast Dynamic Time Warping based multi-view human activity recognition using a RGB-D sensor. NCVPRIPG (2015)
Alok Kumar Singh Kushwaha, Rajeev Srivastava
A Framework of Moving Object Segmentation in Maritime Surveillance Inside a Dynamic Background. Trans. Comput. Sci. 25 (2015)
Manish Khare, Alok Kumar Singh Kushwaha, Rajneesh Kumar Srivastava, Ashish Khare
An approach towards wavelet transform based multiclass object classification. IC3 (2013)
Alok Kumar Singh Kushwaha, Om Prakash, Ashish Khare, Maheshkumar H. Kolekar
Rule based human activity recognition for surveillance system. IHCI (2012)
Alok Kumar Singh Kushwaha, Maheshkumar H. Kolekar, Ashish Khare
Vision based method for object classification and multiple human activity recognition in video survelliance system. CUBE (2012)
Chandra Mani Sharma, Alok Kumar Singh Kushwaha, Swati Nigam, Ashish Khare
Automatic human activity recognition in video using background modeling and spatio-temporal template matching based technique. ACAI (2011)