Attributed to extensive acceptance and research, lives can and inked fingerprints are successfully used for human recognition. However, applications such as contactless biometrics amidst the pandemic and crime scene ...
I take this opportunity to express a deep sense of gratitude to Dr Debarka Sengupta for guiding me through the duration of my research, providing timely advice and con- tinuous support. Dr Debarka Sengupta introduced me ...
Spatial data mining is a specialized field that focuses on extracting meaningful insights and patterns from geographical or spatial data. One particular area of interest in spatial data mining is colocation pattern mining. ...
The traditional way of clustering is first extracting the feature vectors according to domain-specific knowledge and then employing a clustering algorithm on the extracted features. Deep learning approaches attempt to ...
Face recognition under controlled and constrained scenarios have reached a significant level of maturity with respect to performance and reliability. However, under unconstrained and un controlled settings, current ...
There are many real-world problems pertaining to the need for the fusion of information from multiple sources. Consider, for example, the problem of demand forecasting that requires estimating the power consumption at a ...
Artificial neural networks (ANNs) have occupied the centre stage in deep learning. An activation function is a crucial component in the neural network, which introduces the non-linearity in the network. An activation ...
Education in traditional classroom settings was restricted to static content in textbooks. It also assumes all the learners have a similar pace of learning. Online learning platforms have shifted the paradigm and have made ...
Egocentric videos are recorded in a hands-free, always-on, under enhanced privacy-sensitive scenario and are often collected from day to weeks. For efficient consumption, such videos require robust video analysis techniques ...
Jain, Monika; Subramanyam, A V (Advisor)(IIIT-Delhi, 2022-06)
Correlation Filter based visual trackers have demonstrated tremendous progress in object tracking. These trackers primarily use hierarchical features learned from multiple layers of a deep network. However, issues related ...
Time series analytics is the practice of determining future values of correlated signals. In seminal works, time series were modeled using classical techniques such as ARMA (autoregressive moving average), and its variants ...
Disaster risk reduction is integral to social and economic development as per the 2030 Agenda of Sustainable Development. Among all the natural disasters, storms and floods have significant contributions in terms of their ...
Transportation is a fundamental task in modern-day civilization. Examples of transportation in our daily lives include going to the workplace, returning home after work, etc. In this thesis, we investigate computational ...
Face is one of the least invasive biometric modalities, and has been used as physical signature to perform person recognition. Face recognition has widespread applicability in various domains such as surveillance, access ...
Surveillance camera networks are a useful monitoring infrastructure dat can be used for various visual analytics applications, where high-level inferences and predictions could be made based on target tracking across teh ...
Sinha, Mitali; Deb, Sujay (Advisor)(IIIT-Delhi, 2022-04)
In recent years, as multi-core processors are emerging as a solution to the limitations of power scaling, the software domain is also experiencing a surge of compute and data-intensive applications. These applications are ...
With the rapid growth of the World Wide Web and the Internet of Things, huge amounts of digital data are being produced everyday. Digital forensics investigators face an uphill battle when they have to manually screen ...
Over the past decade with the explosion of smartphones and pervasive usage of data connectivity, location-based services have increasingly become popular. As a result, Location- based Social Network(LBSN) such as Foursquare, ...
V, Sathish; Butail, Sachit (Advisor); Orkisz, Michal (Advisor)(IIIT-Delhi, 2021-02)
Industrial robots are complex systems that require technical expertise for condition monitoring and diagnostics. In small and medium scale industries, adequate skilled resources may not be available to monitor the robots ...
Automated facial analysis has widespread applicability in scenarios related to image tagging, access control, and surveillance. Initial research focused primarily on face recognition in constrained settings, where the ...