Robust density modelling using the student's t-distribution for human action recognition

The extraction of human features from videos is often inaccurate and prone to outliers. Such outliers can severely affect density modelling when the Gaussian distribution is used as the model since it is highly sensitive to outliers. The Gaussian distribution is also often used as base component of graphical models for recognising human actions in the videos (hidden Markov model and others) and the presence of outliers can significantly affect the recognition accuracy. In contrast, the Student's t-distribution is more robust to outliers and can be exploited to improve the recognition rate in the presence of abnormal data. In this paper, we present an HMM which uses mixtures of t-distributions as observation probabilities and show how experiments over two well-known datasets (Weizmann, MuHAVi) reported a remarkable improvement in classification accuracy. © 2011 IEEE

Procedural Films: Algorithmic Affect in Research Media Art Practice

This thesis explores the political aesthetics of ‘procedural films’—media works that use generative algorithmic procedures and manifest as moving images. In contrast to long-held techno-positivist understandings of generative art, the thesis reframes procedural films as a critical media art practice aiming to understand the ‘procedure’ as an affective engine of moving image experience. It employs an interdisciplinary approach that borrows from materialist theories of media, experimental film, artificial life and computational culture, and draws on my practices as artist and curator. These processes of making, curating and experiencing serve as enacted research, as a scalable architecture of thinking through and thinking with the technical media. The thesis proposes a conceptual framework for exploring procedural films as techno-cultural artefacts, addressing the ‘apparatus’, the affective space-time of their viewing and their sociopolitical operation. It proposes that algorithmic autonomy brings an affective renegotiation of the traditional roles of the spectator and the moving image, instead seeing it as a complex entanglement of human and non-human agencies, computational temporalities and generative procedures. Furthermore, it addresses procedural mediation and automation as a part of the political aesthetics of media art, exploring the techno-capitalist commodification of attention, time and images. The thesis investigates two case studies—screensaver and game engine—as procedural apparatuses. It explores these media artefacts as sites of labour, design, affect and experience, addressing their techno-cultural construction, as well as their processes of liveness and emergence