Multiple camera-based codebooks for object detection under sudden illumination change

Abstract

In many computer vision applications, identification of moving objects is a critical task. It involves classification of a pixel into either foreground or background. Background subtraction is a common approach used to achieve such classifications to remove background from the current frame. Background subtraction/modeling is extremely difficult due to illumination variations and the presence of shadow and/or occlusion. Single camera-based setup cannot perfectly handle all these problems. To overcome some of these problems, multiple camera-based backgrounds modeling system is proposed to extract multi-view objects. In this paper, homography and codebook-based approaches are utilized to detect the moving objects. Subsequently, a new heuristics is proposed which is quite robust to sudden lighting changes. The proposed method is also robust to shadows. Experimental results show that the proposed foreground segmentation method gives better performance compared to the single camera-based counterparts and other conventional approaches.

Reliability of bench-mark datasets for crowd analytic surveillance

“…The databases were tested with three popular background modelling methods such as approximate median method (AMM) [7], Mixture of Gaussian method (MoG) [19] and Code book (CB) [20]. These algorithms were implemented on Intel Core i7 processor with NVIDIA GeForce GT650 4GB Graphic card and a 4GB DDR3 RAM.…”

Performance Analysis of Illumination Invariant Change Detection Method for Detecting Image Change in Night Vision Camera

“…Perubahan pencahayaan menjadi salah satu kendala dalam berbagai deteksi dan identifikasi pada sistem pengawasan yang memanfaatkan kamera video seperti pada sistem deteksi wajah [1] [2], sistem deteksi objek bergerak [3][4] [5] [6] [7], dan sistem identifikasi objek [8] [9]. Perubahan pencahayaan yang terjadi pada area pengawasan menjadi salah satu masalah yang mengakibatkan adanya false alarm pada sistem pengawasan.…”