Bachoo, AK2010-01-082010-01-082009-12Bachoo, AK. 2009. Real-time exposure fusion on a mobile computer. 20th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), 30 November – 1 December 2009, Stellenbosch, South Africa, pp 111-115http://hdl.handle.net/10204/385720th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), 30 November – 1 December 2009Within the context of video surveillance, object and incident detection by an operator is minimized in over- and under-exposed pixels. Multiple different exposures of the same scene can be fused to create a well-balanced and detailed image that is meaningful to a human operator or surveillance system. We present an implementation for real-time video enhancement using videos of varying exposures. The algorithm increases the details in over- or under-exposed areas that are present in a single frame of fixed exposure. The processing power of a mobile computer and its graphics processing unit (GPU) are able to fuse three greyscale videos of resolution 1600×1200 at 20 frames-per-second.enVideo surveillanceExposure fusionReal-time exposure fusionHigh Dynamic Range imagingHDR imagingMobile computerGraphics processing unitGPUPRASA 2009Conference PresentationBachoo, A. (2009). Real-time exposure fusion on a mobile computer. PRASA 2009. http://hdl.handle.net/10204/3857Bachoo, AK. "Real-time exposure fusion on a mobile computer." (2009): http://hdl.handle.net/10204/3857Bachoo A, Real-time exposure fusion on a mobile computer; PRASA 2009; 2009. http://hdl.handle.net/10204/3857 .TY - Conference Presentation AU - Bachoo, AK AB - Within the context of video surveillance, object and incident detection by an operator is minimized in over- and under-exposed pixels. Multiple different exposures of the same scene can be fused to create a well-balanced and detailed image that is meaningful to a human operator or surveillance system. We present an implementation for real-time video enhancement using videos of varying exposures. The algorithm increases the details in over- or under-exposed areas that are present in a single frame of fixed exposure. The processing power of a mobile computer and its graphics processing unit (GPU) are able to fuse three greyscale videos of resolution 1600×1200 at 20 frames-per-second. DA - 2009-12 DB - ResearchSpace DP - CSIR KW - Video surveillance KW - Exposure fusion KW - Real-time exposure fusion KW - High Dynamic Range imaging KW - HDR imaging KW - Mobile computer KW - Graphics processing unit KW - GPU KW - PRASA 2009 LK - https://researchspace.csir.co.za PY - 2009 T1 - Real-time exposure fusion on a mobile computer TI - Real-time exposure fusion on a mobile computer UR - http://hdl.handle.net/10204/3857 ER -