The paper deals with an artificial-vision based system for simultaneous people tracking and posture recognition in the context of human-computer interaction. We adopt no particular assumptions on the movement of a person and on its appearance, making the system suitable to several real-world applications. The system can be roughly subdivided into two highly correlated phases: tracking and recognition. The tracking phase is concerned with establishing coherent relations of the same subject between frames. We adopted the condensation algorithm due to its robustness in highly cluttered environments. The recognition phase adopts a modified eigenspace technique in order to classify between several different human postures and permits to exploit a rich interaction between a human user and a robotic system by means of a set of natural gestures. Experimental results have demonstrated the robustness of our system in different working conditions

Carcass composition and distribution of tissues in the carcass of Turopolje pig were established by analysing the share of muscle (M), fat (F) and bone (B) tissue in the carcass and each of this tissues from parts leg, shoulder, loin, neck and belly-rib part (BRP) in the carcass as well as the same tissue in the parts. Investigation was caried out in two groups of fattened pigs at different age and live weight at slaughtering (TI n = 10, age 584 ± 20 days and 81.9 kg ± 6.1 kg; TII n = 9, age 679 ± 20 days and 100.3 kg ± 4.9 kg). Pigs were fattened in the outdoor system of flood forests and marsh meadows biocenosis (Quercus robur and Deschampsietum caespitosae) according to traditional Croatian technology of low input feed (0.5 kg/day/animal). On the slaughter line the animals and carcasses were separetly weighted and cut according to Weniger method and by total dissection. In the groups TI and TII the percentages of muscle (38.2% and 40.5%, respectively) and bone tissue (10.6% and 9.7%, respectively) were significantly different in the carcass, while the share of fat (34.2% and 33.8%, respectively) was not significantly different. In the groups TI and TII the distribution of muscle, fat and bone tissue in the body parts leg, shoulder, loin, neck and belly-rib part (BRP) were estimated.