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Solar eruptions such as Coronal Mass Ejections (CMEs) observed in the innersolar corona (up to 4 R$_{\odot}$) show acceleration profiles which appear asparabolic ridges in height-time plots. Inspired by the white-light automateddetection algorithms, Computer Aided CME Tracking System (CACTus) and SolarEruptive Events Detection System (SEEDS), we employ the parabolic HoughTransform for the first time to automatically detect off-disk solar eruptions{from height-time plots. Due to the limited availability of white-lightobservations in the inner corona, we use Extreme UltraViolet (EUV) images ofthe Sun. In this paper we present a new algorithm, CME Identification in InnerSolar Corona (CIISCO), which is based on Fourier motion filtering and theparabolic Hough transform, and demonstrate its implementation using EUVobservations taken from {\it Atmospheric Imaging Assembly} (AIA) on-board theSolar Dynamics Observatory (SDO), {\it Extreme Ultra Violet Imager} (EUVI)on-board the STEREO-A and B satellites, and {\it Sun Watcher using Active PixelSystem detector and Image Processing} (SWAP) Imager on-board PROBA2. We showthat CIISCO is able to identify any {off-disk} outward moving feature in EUVimages. The use of automated detection algorithms, like CIISCO, can potentiallybe used to provide early warnings of CMEs if an EUV telescope is located at$\pm$ 90$^{\circ}$ from the Sun-Earth line, providing CME characteristics andkinematics close to the Sun. This paper also presents the limitations of thisalgorithm and the prospects for future improvement.

Automated Detection of Accelerating Solar Eruptions using Parabolic Hough Transform