For real-time and robust web camera image mosaicing, a method based on optimized Speeded up Robust Features (SURF) was proposed in this paper. Firstly, the feature points from the overlapping parts between the reference image and the target image are extracted by employing the rapid matching algorithm Best-Bin-Fist (BBF).Then Random Sample Consensus (RANSAC) is used for mismatched features elim...

Audio classification acts as the fundamental step for lots of applications like content based audio retrieval and audio indexing. In this work, we have presented a novel scheme for classifying audio signal into three categories namely, speech, music without voice (instrumental) and music with voice (song). A hierarchical approach has been adopted to classify the signals. At the first stage, sig...

A binocular point matching method using affine transformation is presented in this paper to deal with matching ambiguities. The epipolar geometry is used to determine all the possible matching pairs to form an initial correspondence data set. Then, an affine registration model with four parameters that is invariant to scaling, rotation and translation is built using the Random Sample Consensus ...

This paper evaluates 2D feature detection methods with respect to invariance and efficiency properties. The studied feature detection methods are as follows: Speeded Up Robust Features, Scale Invariant Feature Transform, Binary Robust Invariant Scalable Keypoints, Oriented Binary Robust Independent Elementary Features, Features from Accelerated Segment Test, Maximally Stable Extremal Regions, B...

In this paper we propose an approach to retrieve the geometry of an acoustic sensor network consisting of spatially distributed microphone arrays from unconstrained speech input. The calibration relies on Direction of Arrival (DoA) measurements which do not require a clock synchronization among the sensor nodes. The calibration problem is formulated as a cost function optimization task, which m...

The purpose of this work is to implement panorama stitching from a sequence of photos taken by cell phone camera on the Android phone system. The photos for panorama stitching are captured in a fixed linear spatial interval based on magnetic compass provided by Android cell phone. The computation is carried out either on phone or by a cloud according to the number of photos used for the panoram...

Multi-exposure image fusion algorithms are used for enhancing the perceptual quality of an image captured by sensors of limited dynamic range by rendering multiple images captured at different exposure settings. One practical problem overlooked by existing algorithms is the compensation required for image deregistration due to possible multi-dimensional camera shake that results within the time...

“Actions in the wild” is the term given to examples of human motion that are performed in natural settings, such as those harvested from movies [1] or Internet databases [2]. This paper presents an approach to the categorisation of such activity in video, which is based solely on the relative distribution of spatio-temporal interest points. Presenting the Relative Motion Descriptor, we show tha...

Video stabilization is an important technology for removing undesired motion in videos. This paper presents a comprehensive motion estimation method for electronic image stabilization techniques, integrating the speeded up robust features (SURF) algorithm, modified random sample consensus (RANSAC), and the Kalman filter, and also taking camera scaling and conventional camera translation and rot...