  Solar eruptions such as Coronal Mass Ejections (CMEs) observed in the inner
solar corona (up to 4 R$_{\odot}$) show acceleration profiles which appear as
parabolic ridges in height-time plots. Inspired by the white-light automated
detection algorithms, Computer Aided CME Tracking System (CACTus) and Solar
Eruptive Events Detection System (SEEDS), we employ the parabolic Hough
Transform for the first time to automatically detect off-disk solar eruptions
{from height-time plots. Due to the limited availability of white-light
observations in the inner corona, we use Extreme UltraViolet (EUV) images of
the Sun. In this paper we present a new algorithm, CME Identification in Inner
Solar Corona (CIISCO), which is based on Fourier motion filtering and the
parabolic Hough transform, and demonstrate its implementation using EUV
observations taken from {\it Atmospheric Imaging Assembly} (AIA) on-board the
Solar Dynamics Observatory (SDO), {\it Extreme Ultra Violet Imager} (EUVI)
on-board the STEREO-A and B satellites, and {\it Sun Watcher using Active Pixel
System detector and Image Processing} (SWAP) Imager on-board PROBA2. We show
that CIISCO is able to identify any {off-disk} outward moving feature in EUV
images. The use of automated detection algorithms, like CIISCO, can potentially
be 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 and
kinematics close to the Sun. This paper also presents the limitations of this
algorithm and the prospects for future improvement.
