Asif Mehmood

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Non-imaging sensors offer low power and long lasting solutions for perimeter, border crossing, and forward operating base protection. In this paper, we study the utility of acoustic, seismic, and ultrasonic transducers for detection and identification of people and animals. Various algorithms will be developed for them, which are computationally less(More)
Seismic footstep detection based systems can be employed for homeland security applications such as perimeter protection and the border security. This paper reports an approach based on non-negative matrix factorization (NMF) for seismic footstep signal separation for a single channel recording. A supervised NMF technique is employed to separate the human(More)
The focus of this paper is to experimentally extract the Doppler signatures of a walking human's individual body segments using an ultrasonic Doppler system (UDS) operating at 40 kHz. In a human's walk, the major contribution to Doppler velocities and acoustic scattering is from the foot, lower leg, thigh (upper leg) and torso. The Doppler signature of(More)
This paper describes a new wavelet-based anomaly detection technique for a dual-band forward-looking infrared (FLIR) sensor consisting of a coregistered longwave (LW) with a midwave (MW) sensor. The proposed approach, called the wavelet-RX (Reed-Xiaoli) algorithm, consists of a combination of a two-dimensional (2D) wavelet transform and a well-known(More)
Seismic sensors are widely used to detect moving targets in the ground sensor network, and can be easily employed to discriminate human and quadruped based on their footstep signatures. Because of the complex environmental conditions and the non-stationary nature of the seismic signals, footstep detection and classification is a very challenging problem.(More)
This paper describes a new kernel wavelet-based anomaly detection technique for long-wave (LW) forward-looking infrared imagery. The proposed approach called kernel wavelet-Reed-Xiaoli (wavelet-RX) algorithm is essentially an extension of the wavelet-RX algorithm (combination of wavelet transform and RX anomaly detector) to a high-dimensional feature space(More)
Extraction of Doppler signatures that characterize human motion has attracted a growing interest in recent years. These Doppler signatures are generated by various components of the human body while walking, and contain unique features that can be used for human detection and recognition. Although, a significant amount of research has been done in radio(More)
Email: rjamil@ciitlahore.edu.pk, Email:mrasim@ciitlahore.edu.pk, Email: nahmed@ciitlahore.edu.pk,Email:asifmehmood_mcs@yahoo.com * Department of Computer Science, COMSATS Institute of Information Technology M. A. Jinnah Campus, Defence Road off Raiwind Road, Lahore Pakistan. ABSTRACT: Software (SW) development is a very tough task which requires a skilled(More)
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