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This paper presents a neuromorphic person re-identification (NPReId) framework to establish the correspondence among individuals observed across two disjoint camera views. The proposed framework comprises three modules (observation, cognition, and contemplation), inspired by the form-and-color-and-depth (FACADE) theory model of object recognition system. In the observation module, a semantic partitioning...
Background subtraction is a popular technique for detecting objects moving across a fixed camera view. The performance of this paradigm is influenced by various challenges, such as object relocation, illumination change, cast shadows, waving background, camera shake, bootstrapping, camouflage, and so on. In this paper, we present a synopsis on the evolution of the background subtraction techniques...
In this paper we report on development and analysis of a high throughput 3D reconstruction set-up for reconstructing cereal plants grown in pots for their phenotypic analysis. We are motivated with the idea of accurate and high-throughput reconstruction of shoots. We have developed a turntable setup for high-throughput and high accuracy 3D reconstruction of plant shoots, where the plants stays stationary...
Ellipse and conic fitting is a highly researched and mature topic in image processing and computer vision. Surprisingly, however, none of the methods have thus far considered eccentricity of data point sets in the fitting of an ellipse. In this paper we show that irrespective of the method used to fit ellipses, the root mean square error (RMSE) of an algorithm increases with the eccentricity of the...
In this paper we propose the idea of fusing information from facial features and colour intensity of a person for the purpose of matching targets across cameras with non-overlapping field of views in a camera sensor network. Cumulative Brightness Transfer Function (CBTF) is used to model and learn the relationship of separate radiometric responses of the cameras and difference in illumination of the...
The goal in this paper is to detect and remove shadows of moving objects in colour image sequences. The method works by deriving the shadow edges of a 3-band colour image, integrating edge information temporally in the image sequence, and subsequently removing these shadows by a method paralleling reflectance recovery by entropy minimisation. The method incorporates background subtraction information...
In this paper we present an analysis of the inter-camera matching problem based on colour and intensity of targets. Brightness Transfer Function (BTF) have been quite effective in matching targets across cameras with non-overlapping fields of view. The BTF effectively compensates for the illumination changes in the environment and radiometric distortions due to difference in camera sensors. We used...
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