A processor implemented method comprising: employing, via one or more hardware processors, a spiking neural network model for recognition of an action performed by a target, the SNN model comprising a data preprocessing layer, a plurality of Convolutional Spiking neural network (CSNN) layers and a classifier layer, wherein the SNN model for action recognition comprising: receiving, by the data preprocessing layer, a radar data acquired by one or more radar sensors, wherein the radar data indicative of one or more actions performed by the target, wherein the radar data comprises a plurality of Doppler frequencies reflected from the target upon motion of the target with respect to the one or more radar sensors; determining, by the data preprocessing layer, a first binarized matrix associated with the radar data by transforming the radar data to obtain an input spectrogram using a Short-time Fourier Transform (STFT) model, and performing a greyscale conversion and binarization of the input spectrogram to obtain the first binarized matrix; extracting, by the plurality of CSNN layers pre-trained on a training data, a set of features associated with the one or more actions of the target based on the first binarized matrix, the set of features comprising a first set of spatial features and a first set of temporal features, wherein each CSNN layer of the plurality of CSNN layers comprises a set of class-wise filter blocks connected via an inhibition mechanism, wherein each class-wise filter block of the set of class-wise filter blocks comprises a set of filters controlled by a switcher node to enable the each CSNN layer of the plurality of CSNN layers to capture spatially collocated patterns within a spike frame of a single action class associated with the action, wherein the switcher node applies inhibition to force all but one filter in the each filter-block to inactive state for a predetermined inactivity duration, wherein the spike frame is a 1-D binary image binarized radar spectrogram representing an action, and wherein each pixel within the spike frame is connected to a single neuron of the class-wise filter block; and identifying, by the classifier layer, a type of the action from amongst the one or more actions performed by the target based on the set of features. receiving, by the data preprocessing layer, a radar data acquired by one or more radar sensors, wherein the radar data indicative of one or more actions performed by the target, wherein the radar data comprises a plurality of Doppler frequencies reflected from the target upon motion of the target with respect to the one or more radar sensors; determining, by the data preprocessing layer, a first binarized matrix associated with the radar data by transforming the radar data to obtain an input spectrogram using a Short-time Fourier Transform (STFT) model, and performing a greyscale conversion and binarization of the input spectrogram to obtain the first binarized matrix; extracting, by the plurality of CSNN layers pre-trained on a training data, a set of features associated with the one or more actions of the target based on the first binarized matrix, the set of features comprising a first set of spatial features and a first set of temporal features, wherein each CSNN layer of the plurality of CSNN layers comprises a set of class-wise filter blocks connected via an inhibition mechanism, wherein each class-wise filter block of the set of class-wise filter blocks comprises a set of filters controlled by a switcher node to enable the each CSNN layer of the plurality of CSNN layers to capture spatially collocated patterns within a spike frame of a single action class associated with the action, wherein the switcher node applies inhibition to force all but one filter in the each filter-block to inactive state for a predetermined inactivity duration, wherein the spike frame is a 1-D binary image binarized radar spectrogram representing an action, and wherein each pixel within the spike frame is connected to a single neuron of the class-wise filter block; and identifying, by the classifier layer, a type of the action from amongst the one or more actions performed by the target based on the set of features.