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@article{167757,
        author = {Priyanka Singh and Mohd.Murtaja},
        title = {Optimizing SVD for Object Tracking: A Hardware-Software Co-Design Methodology},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {4},
        pages = {385-389},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167757},
        abstract = {The present study suggests the development of a customized processor architecture designed specifically for tracking applications, taking into account the complex nature of tracking in nonlinear systems. We design the prototype platform to enhance tracking capabilities by incorporating singular value decomposition (SVD), a crucial component of the tracking algorithm. By including SVD in the processor design, the suggested architecture can solve the problems that come up with real-time vision algorithms used in object tracking, smart cameras, and automated security systems.},
        keywords = {Singular value decomposition, Tracking Algorithm, Profiling, Co-Design},
        month = {September},
        }