The implementation of multi-target multi-camera tracking systems in indoor environments
including shops and warehouses facilitates strategic product positioning and the …

We introduce a novel representation called Ordered Atomic Activity for interactive scenario
understanding. The representation decomposes each scenario into a set of ordered atomic …

To track the 3D locations and trajectories of the other traffic participants at any given time,
modern autonomous vehicles are equipped with multiple cameras that cover the vehicle's …

Multi-camera people tracking (MCPT) is a challenging task that is crucial for developing
intelligent surveillance applications. In this work, we propose an MCPT system for Challenge …

In this paper we study multi-label atomic activity recognition. Despite the notable progress in
action recognition it is still challenging to recognize atomic activities due to a deficiency in …

Many state-of-the-art solutions for vehicle re-identification (re-id) mostly focus on improving
the accuracy on existing re-id benchmarks using additional annotated data. To balance the …

Recently there has been a significant amount of research on Multi-Camera People Tracking
(MCPT). MCPT presents more challenges compared to Multi-Object Single Camera Tracking …

Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

Unsupervised domain adaptation (UDA) for person re-identification is challenging because
of the huge gap between the source and target domain. A typical self-training method is to …

In this paper, we propose a novel framework for multi-target multi-camera tracking (MTMCT)
of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based …